From 93df294d78596ab02f65c9b4d71168f5dedc145e Mon Sep 17 00:00:00 2001 From: DouSam <28208639+DouSam@users.noreply.github.com> Date: Sun, 21 Jun 2026 16:19:34 +0000 Subject: [PATCH] Update translations from SlicerLanguageTranslations Processed tutorials: STC-GEN-101_WelcomeTutorial, STC-GEN-102_FourMinuteTutorial, STC-SEG-103_AIBasedSegmentationIn3DSlicer, STC-VIS-101_VisualizationTutorial Files: STC-GEN-101_ar_SA.ts,STC-GEN-101_de.ts,STC-GEN-101_en-US.ts,STC-GEN-101_es-419.ts,STC-GEN-101_es.ts,STC-GEN-101_fr.ts,STC-GEN-101_hu.ts,STC-GEN-101_pt-BR.ts,STC-GEN-101_pt.ts,STC-GEN-101_pt_PT.ts,STC-GEN-101_ta.ts,STC-GEN-101_zh_Hans.ts,STC-GEN-102_ar_SA.ts,STC-GEN-102_de.ts,STC-GEN-102_en-US.ts,STC-GEN-102_es-419.ts,STC-GEN-102_es.ts,STC-GEN-102_fr.ts,STC-GEN-102_hu.ts,STC-GEN-102_pt-BR.ts,STC-GEN-102_pt.ts,STC-GEN-102_pt_PT.ts,STC-GEN-102_ta.ts,STC-GEN-102_zh_Hans.ts,STC-SEG-103_ar-SA.ts,STC-SEG-103_de.ts,STC-SEG-103_en-US.ts,STC-SEG-103_es-419.ts,STC-SEG-103_es.ts,STC-SEG-103_fr.ts,STC-SEG-103_hu.ts,STC-SEG-103_pt-BR.ts,STC-SEG-103_pt.ts,STC-SEG-103_pt_PT.ts,STC-SEG-103_ta.ts,STC-SEG-103_th.ts,STC-SEG-103_uk.ts,STC-SEG-103_zh-Hans.ts,STC-SEG-103_zh-Hant.ts,STC-VIS-101_ar_SA.ts,STC-VIS-101_de.ts,STC-VIS-101_en-US.ts,STC-VIS-101_es-419.ts,STC-VIS-101_es.ts,STC-VIS-101_fr.ts,STC-VIS-101_hu.ts,STC-VIS-101_pt-BR.ts,STC-VIS-101_pt.ts,STC-VIS-101_pt_PT.ts,STC-VIS-101_ta.ts,STC-VIS-101_zh_Hans.ts --- .../Translations/text_dict_de.json | 90 ++++---- .../Translations/text_dict_hu.json | 88 ++++---- .../Translations/text_dict_zh_Hans.json | 49 +++++ .../Translations/text_dict_de.json | 68 +++---- .../Translations/text_dict_hu.json | 70 +++---- .../Translations/text_dict_zh_Hans.json | 39 ++++ .../Translations/text_dict_de.json | 92 ++++----- .../Translations/text_dict_hu.json | 92 ++++----- .../Translations/text_dict_zh-Hans.json | 49 +++++ .../Translations/text_dict_zh-Hant.json | 49 +++++ .../Translations/text_dict_ar_SA.json | 96 ++++----- .../Translations/text_dict_de.json | 192 +++++++++--------- .../Translations/text_dict_hu.json | 190 ++++++++--------- .../Translations/text_dict_zh_Hans.json | 99 +++++++++ 14 files changed, 774 insertions(+), 489 deletions(-) create mode 100644 Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_zh_Hans.json create mode 100644 Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_zh_Hans.json create mode 100644 Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hans.json create mode 100644 Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hant.json create mode 100644 Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_zh_Hans.json diff --git a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_de.json b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_de.json index 0ba54835..1dd9461d 100644 --- a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_de.json +++ b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_de.json @@ -1,49 +1,49 @@ { "0_TextBox_0": "Slicer Willkommen", - "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\n\nBrigham and Women’s Hospital\n\nHarvard Medical School\n", - "1_Goal_title": "Goal", - "1_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software.", - "2_TextBox_0": "Slicer5 Basics", - "3_TextBox_0": "Slicer5 Basics", - "2_TextBox_1": "*Slicer is an open-source software for segmentation, registration and visualization of medical imaging data.\n*The platform is developed through a multi-institution effort of several NIH funded large-scale consortia.\n*Slicer is for medical research only, and is not FDA approved. ", - "3_TextBox_1": "3D Slicer 5 version 5.10.0 includes over 100 modules and more than 190 extensions for image segmentation, registration and 3D visualization of medical imaging data.", - "4_TextBox_0": "Supported Platforms", - "4_TextBox_1": "*Slicer is a multi-platform software developed and maintained on Mac OSX, Linux and Windows.\n\n*Slicer requires a minimum of 2 GB of RAM and a dedicated graphic accelerator with 64 MB of on-board graphic memory. ", - "5_WelcometoSlicer_title": "Welcome to Slicer", - "5_TextBox_1": "Each module of Slicer includes a series of tabs, which give access to different functionalities.\n\nClick on the arrow symbol to display the content of each tab. ", - "6_SlicerUserInterface_title": "Slicer User Interface", - "6_ArrowText_0": "Toolbar", - "6_TextBox_1": "3D viewer", - "6_TextBox_3": "User Interface (UI) panel of the Slicer Welcome Module", - "6_TextBox_5": "Data probe", - "6_ArrowText_6": "2D anatomical viewers", - "7_WelcomeModule_title": "Welcome Module", - "8_WelcomeModule_title": "Welcome Module", - "12_WelcomeModule_title": "Welcome Module", - "7_TextBox_1": "The Documentation & Tutorials tab contains links to the training compendium and documentation pages of 3D Slicer.", - "8_TextBox_0": "The Welcome module panel contains shortcuts for loading different types of data. A series of sample data are also available.\n\nClick on Download Sample Data to access the Sample Data Module", - "9_SampleData_title": "Sample Data", - "10_SampleData_title": "Sample Data", - "11_SampleData_title": "Sample Data", - "9_TextBox_1": "The Sample Data module contains links to different sample datasets that can be downloaded into Slicer.", - "10_TextBox_0": "Brain MR", - "10_TextBox_1": "Chest CT", - "10_TextBox_2": "Cardiac CT", - "10_TextBox_3": "Diffusion Tensor Imaging (DTI) Dataset", - "10_TextBox_4": "Brain MRI (tumor patient)", - "11_ArrowText_0": "Click on MRHead to download the\ndataset in Slicer.", - "12_TextBox_0": "The MR scan of the brain appears\nin the 2D viewers.", - "13_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "14_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "15_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "13_TextBox_0": "Position the mouse on the little pin icon in the top left corner of the red viewer to display the viewer menu", - "14_TextBox_1": "Click on the link icon to link all three 2D viewers, and on the eye icon next to it\nto display the slices in the 3D viewer", - "15_TextBox_0": "The axial, coronal and sagittal slices appear in the 3D viewer.\nGo back to the Welcome module using the green arrow in the toolbar", - "16_GoingFurther_title": "Going Further", - "17_TextBox_0": "Going Further", - "16_TextBox_0": "To learn more about Slicer and its different functionalities, visit the Slicer Compendium", + "0_TextBox_1": "Dr. Sonia Pujol", + "0_TextBox_3": "Assistenzprofessor für Radiologie\n\nBrigham and Women’s Hospital\n\nHarvard Medical School\n", + "1_Goal_title": "Ziel", + "1_Goal_body": "Dieses Tutorial bietet eine kurze Einführung in das „Welcome“-Modul der Open-Source-Software Slicer.", + "2_TextBox_0": "Grundlagen von Slicer5", + "3_TextBox_0": "Grundlagen von Slicer5", + "2_TextBox_1": "*Slicer ist eine Open-Source-Software zur Segmentierung, Registrierung und Visualisierung medizinischer Bilddaten.\n*Die Plattform wurde im Rahmen einer institutionenübergreifenden Zusammenarbeit mehrerer großer, vom NIH finanzierter Konsortien entwickelt.\n*Slicer ist ausschließlich für die medizinische Forschung bestimmt und nicht von der FDA zugelassen. ", + "3_TextBox_1": "Die Version 5.10.0 von 3D Slicer 5 umfasst über 100 Module und mehr als 190 Erweiterungen für die Bildsegmentierung, Bildregistrierung und 3D-Visualisierung medizinischer Bilddaten.", + "4_TextBox_0": "Unterstützte Plattformen", + "4_TextBox_1": "*Slicer ist eine plattformübergreifende Software, die unter Mac OS X, Linux und Windows entwickelt und gepflegt wird.\n\n*Slicer benötigt mindestens 2 GB RAM und eine dedizierte Grafikkarte mit 64 MB integriertem Grafikspeicher. ", + "5_WelcometoSlicer_title": "Willkommen bei Slicer", + "5_TextBox_1": "Jedes Modul von Slicer enthält eine Reihe von Registerkarten, über die Sie auf verschiedene Funktionen zugreifen können.\n\nKlicken Sie auf das Pfeilsymbol, um den Inhalt der jeweiligen Registerkarte anzuzeigen. ", + "6_SlicerUserInterface_title": "Benutzeroberfläche von Slicer", + "6_ArrowText_0": "Symbolleiste", + "6_TextBox_1": "3D-Viewer", + "6_TextBox_3": "Bedienoberfläche (UI) des Slicer-Begrüßungsmoduls", + "6_TextBox_5": "Datum der Probe", + "6_ArrowText_6": "2D-Anatomie-Viewer", + "7_WelcomeModule_title": "Einführungsmodul", + "8_WelcomeModule_title": "Einführungsmodul", + "12_WelcomeModule_title": "Einführungsmodul", + "7_TextBox_1": "Die Registerkarte „Dokumentation & Tutorials“ enthält Links zum Schulungskompendium und zu den Dokumentationsseiten von 3D Slicer.", + "8_TextBox_0": "Das Bedienfeld des „Welcome“-Moduls enthält Verknüpfungen zum Laden verschiedener Datentypen. Außerdem steht eine Reihe von Beispieldaten zur Verfügung.\n\nKlicken Sie auf „Beispieldaten herunterladen“, um das Modul „Beispieldaten“ aufzurufen.", + "9_SampleData_title": "Beispieldaten", + "10_SampleData_title": "Beispieldaten", + "11_SampleData_title": "Beispieldaten", + "9_TextBox_1": "Das Modul „Beispieldaten“ enthält Links zu verschiedenen Beispieldatensätzen, die in Slicer heruntergeladen werden können.", + "10_TextBox_0": "MRT des Gehirns", + "10_TextBox_1": "Diese CT", + "10_TextBox_2": "Herz-CT", + "10_TextBox_3": "Datensatz zur Diffusionstensorbildgebung (DTI)", + "10_TextBox_4": "MRT des Gehirns (Tumorpatient)", + "11_ArrowText_0": "Klicken Sie auf „MRHead“, um den\nDatensatz in Slicer herunterzuladen.", + "12_TextBox_0": "Die MRT-Aufnahme des Gehirns wird\nin den 2D-Betrachtungsprogrammen angezeigt.", + "13_MRBrainSampleDataset_title": "MR-Gehirn-Beispieldatensatz", + "14_MRBrainSampleDataset_title": "MR-Gehirn-Beispieldatensatz", + "15_MRBrainSampleDataset_title": "MR-Gehirn-Beispieldatensatz", + "13_TextBox_0": "Bewegen Sie den Mauszeiger auf das kleine Stecknadel-Symbol in der oberen linken Ecke des roten Viewers, um das Viewer-Menü anzuzeigen.", + "14_TextBox_1": "Klicken Sie auf das Link-Symbol, um alle drei 2D-Viewer zu verknüpfen, und auf das Augensymbol daneben,\num die Schnitte im 3D-Viewer anzuzeigen", + "15_TextBox_0": "Die axialen, koronalen und sagittalen Schnitte werden im 3D-Viewer angezeigt.\nKehren Sie mithilfe des grünen Pfeils in der Symbolleiste zum Modul „Willkommen“ zurück.", + "16_GoingFurther_title": "Weiterführende Informationen", + "17_TextBox_0": "Weiterführende Informationen", + "16_TextBox_0": "Um mehr über Slicer und seine verschiedenen Funktionen zu erfahren, besuchen Sie das Slicer-Kompendium", "17_TextBox_1": "https://training.slicer.org/", - "18_TextBox_0": "Acknowledgements", - "18_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)" + "18_TextBox_0": "Danksagungen", + "18_TextBox_1": "Nationale Allianz für medizinische Bildverarbeitung\n(National Alliance for Medical Image\nComputing)\nNIH U54EB005149\n\nZentrum für Neurobildanalyse\n(Neuroimage Analysis Center)\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)" } \ No newline at end of file diff --git a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_hu.json b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_hu.json index 704480f5..107c8d49 100644 --- a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_hu.json +++ b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_hu.json @@ -1,49 +1,49 @@ { - "0_TextBox_0": "Slicer Welcome", + "0_TextBox_0": "Slicer üdvözlő", "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\n\nBrigham and Women's Hospital\n\nHarvard Medical School\n", - "1_Goal_title": "Goal", - "1_Goal_body": "This tutorial is a short introduction to the Welcome module of the Slicer open-source software.", - "2_TextBox_0": "Slicer5 Basics", - "3_TextBox_0": "Slicer5 Basics", - "2_TextBox_1": "*Slicer is an open-source software for segmentation, registration and visualization of medical imaging data.\n*The platform is developed through a multi-institution effort of several NIH funded large-scale consortia.\n*Slicer is for medical research only, and is not FDA approved. ", - "3_TextBox_1": "3D Slicer 5 version 5.10.0 includes over 100 modules and more than 190 extensions for image segmentation, registration and 3D visualization of medical imaging data.", - "4_TextBox_0": "Supported Platforms", - "4_TextBox_1": "*Slicer is a multi-platform software developed and maintained on Mac OSX, Linux and Windows.\n\n*Slicer requires a minimum of 2 GB of RAM and a dedicated graphic accelerator with 64 MB of on-board graphic memory. ", - "5_WelcometoSlicer_title": "Welcome to Slicer", - "5_TextBox_1": "Each module of Slicer includes a series of tabs, which give access to different functionalities.\n\nClick on the arrow symbol to display the content of each tab. ", - "6_SlicerUserInterface_title": "Slicer User Interface", - "6_ArrowText_0": "Toolbar", - "6_TextBox_1": "3D viewer", - "6_TextBox_3": "User Interface (UI) panel of the Slicer Welcome Module", - "6_TextBox_5": "Data probe", - "6_ArrowText_6": "2D anatomical viewers", - "7_WelcomeModule_title": "Welcome Module", - "8_WelcomeModule_title": "Welcome Module", - "12_WelcomeModule_title": "Welcome Module", - "7_TextBox_1": "The Documentation & Tutorials tab contains links to the training compendium and documentation pages of 3D Slicer.", - "8_TextBox_0": "The Welcome module panel contains shortcuts for loading different types of data. A series of sample data are also available.\n\nClick on Download Sample Data to access the Sample Data Module", - "9_SampleData_title": "Sample Data", - "10_SampleData_title": "Sample Data", - "11_SampleData_title": "Sample Data", - "9_TextBox_1": "The Sample Data module contains links to different sample datasets that can be downloaded into Slicer.", - "10_TextBox_0": "Brain MR", - "10_TextBox_1": "Chest CT", - "10_TextBox_2": "Cardiac CT", - "10_TextBox_3": "Diffusion Tensor Imaging (DTI) Dataset", - "10_TextBox_4": "Brain MRI (tumor patient)", - "11_ArrowText_0": "Click on MRHead to download the\ndataset in Slicer.", - "12_TextBox_0": "The MR scan of the brain appears\nin the 2D viewers.", - "13_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "14_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "15_MRBrainSampleDataset_title": "MR Brain Sample Dataset", - "13_TextBox_0": "Position the mouse on the little pin icon in the top left corner of the red viewer to display the viewer menu", - "14_TextBox_1": "Click on the link icon to link all three 2D viewers, and on the eye icon next to it\nto display the slices in the 3D viewer", - "15_TextBox_0": "The axial, coronal and sagittal slices appear in the 3D viewer.\nGo back to the Welcome module using the green arrow in the toolbar", - "16_GoingFurther_title": "Going Further", - "17_TextBox_0": "Going Further", - "16_TextBox_0": "To learn more about Slicer and its different functionalities, visit the Slicer Compendium", + "0_TextBox_3": "Radiológiai adjunktus\n\nBrigham and Women's Hospital\n\nHarvard Medical School\n", + "1_Goal_title": "Cél", + "1_Goal_body": "Ez az oktatóanyag rövid bevezetést nyújt a Slicer nyílt forráskódú szoftver üdvözlő moduljába.", + "2_TextBox_0": "Slicer5 alapismeretek", + "3_TextBox_0": "Slicer5 alapismeretek", + "2_TextBox_1": "*A Slicer egy nyílt forráskódú szoftver orvosi képalkotó adatok szegmentálásához, regisztrációjához és megjelenítéséhez.\n*A platformot több NIH által finanszírozott nagy méretű konzorcium többintézményes összefogásával fejlesztik.\n*A Slicer kizárólag orvosi kutatási célokra készült, és nem rendelkezik FDA-jóváhagyással. ", + "3_TextBox_1": "A 3D Slicer 5 (5.10.0-s verzió) több mint 100 modult és több mint 190 bővítményt tartalmaz orvosi képalkotó adatok képszegmentálásához, regisztrációjához és 3D-s megjelenítéséhez.", + "4_TextBox_0": "Támogatott platformok", + "4_TextBox_1": "*A Slicer egy többplatformos szoftver, amelyet Mac OSX, Linux és Windows rendszereken fejlesztenek és tartanak karban.\n\n*A Slicer minimálisan 2 GB RAM-ot és legalább 64 MB beépített grafikai memóriával rendelkező dedikált grafikus gyorsítót igényel. ", + "5_WelcometoSlicer_title": "Üdvözöljük a Slicerben", + "5_TextBox_1": "A Slicer minden modulja különböző funkciókat elérhetővé tevő füleket tartalmaz.\n\nKattintson a nyíl szimbólumra az egyes fülek tartalmának megjelenítéséhez. ", + "6_SlicerUserInterface_title": "A Slicer felhasználói felülete", + "6_ArrowText_0": "Eszköztár", + "6_TextBox_1": "3D-s néző", + "6_TextBox_3": "A Slicer üdvözlő modul felhasználói felületének (UI) panele", + "6_TextBox_5": "Adatszonda", + "6_ArrowText_6": "2D-s anatómiai nézők", + "7_WelcomeModule_title": "Üdvözlő modul", + "8_WelcomeModule_title": "Üdvözlő modul", + "12_WelcomeModule_title": "Üdvözlő modul", + "7_TextBox_1": "A Dokumentáció és oktatóanyagok fül hivatkozásokat tartalmaz a 3D Slicer képzési gyűjteményéhez és dokumentációs oldalaihoz.", + "8_TextBox_0": "Az üdvözlő modul panelje különféle adattípusok betöltéséhez tartalmaz parancsikonokat. Számos mintaadat is elérhető.\n\nKattintson a Mintaadat letöltése lehetőségre a Mintaadat modul megnyitásához", + "9_SampleData_title": "Mintaadatok", + "10_SampleData_title": "Mintaadatok", + "11_SampleData_title": "Mintaadatok", + "9_TextBox_1": "A Mintaadat modul hivatkozásokat tartalmaz különböző mintaadatkészletekhez, amelyek letölthetők a Slicerbe.", + "10_TextBox_0": "Agy MR", + "10_TextBox_1": "Mellkas CT", + "10_TextBox_2": "Szív CT", + "10_TextBox_3": "Diffúziós tenzor képalkotó (DTI) adatkészlet", + "10_TextBox_4": "Agy MRI (tumoros beteg)", + "11_ArrowText_0": "Kattintson az MRHead elemre az\nadatkészlet letöltéséhez a Slicerbe.", + "12_TextBox_0": "Az agy MR-felvétele megjelenik\na 2D-s nézőkben.", + "13_MRBrainSampleDataset_title": "Agy MR-mintaadatkészlet", + "14_MRBrainSampleDataset_title": "Agy MR-mintaadatkészlet", + "15_MRBrainSampleDataset_title": "Agy MR-mintaadatkészlet", + "13_TextBox_0": "Vigye az egeret a kis gombostű ikonra a piros néző bal felső sarkában a néző menüjének megjelenítéséhez", + "14_TextBox_1": "Kattintson a lánc ikonra a három 2D-s néző összekapcsolásához, majd a mellette lévő szem ikonra\na szeletek megjelenítéséhez a 3D-s nézőben", + "15_TextBox_0": "Az axiális, koronális és szagittális szeletek megjelennek a 3D-s nézőben.\nTérjen vissza az üdvözlő modulba az eszköztár zöld nyilával", + "16_GoingFurther_title": "Továbblépés", + "17_TextBox_0": "Továbblépés", + "16_TextBox_0": "Ha többet szeretne megtudni a Slicerről és különböző funkcióiról, látogassa meg a Slicer Compendiumot", "17_TextBox_1": "https://training.slicer.org/", - "18_TextBox_0": "Acknowledgements", + "18_TextBox_0": "Köszönetnyilvánítás", "18_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n\nChan Zuckerberg Initiative (CZI)" } \ No newline at end of file diff --git a/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_zh_Hans.json b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_zh_Hans.json new file mode 100644 index 00000000..777bad27 --- /dev/null +++ b/Tutorials/STC-GEN-101_WelcomeTutorial/Translations/text_dict_zh_Hans.json @@ -0,0 +1,49 @@ +{ + "0_TextBox_0": "Slicer 欢迎", + "0_TextBox_1": "索尼娅·普约尔，博士", + "0_TextBox_3": "放射科助理教授\n\n布里格姆妇女医院\n\n哈佛医学院\n", + "1_Goal_title": "目标", + "1_Goal_body": "本教程简要介绍了开源软件 Slicer 的“欢迎”模块。", + "2_TextBox_0": "Slicer5 基础知识", + "3_TextBox_0": "Slicer5 基础知识", + "2_TextBox_1": "*Slicer 是一款用于医学影像数据分割、配准和可视化的开源软件。\n*该平台是由多个由美国国立卫生研究院（NIH）资助的大型联盟通过多机构合作开发的。\n*Slicer 仅用于医学研究，尚未获得美国食品药品监督管理局（FDA）的批准。", + "3_TextBox_1": "3D Slicer 5 5.10.0 版本包含 100 多个模块和 190 多个扩展，用于医学影像数据的图像分割、配准和 3D 可视化。", + "4_TextBox_0": "支持的平台", + "4_TextBox_1": "*Slicer 是一款在 Mac OS X、Linux 和 Windows 平台上开发和维护的多平台软件。\n\n*Slicer 至少需要 2 GB 内存，以及一块配备 64 MB 板载显存的独立显卡。", + "5_WelcometoSlicer_title": "欢迎使用 Slicer", + "5_TextBox_1": "Slicer 的每个模块都包含一系列选项卡，可通过这些选项卡访问不同的功能。\n\n点击箭头图标即可显示每个选项卡的内容。", + "6_SlicerUserInterface_title": "Slicer 用户界面", + "6_ArrowText_0": "工具栏", + "6_TextBox_1": "3D 查看器", + "6_TextBox_3": "Slicer 欢迎模块的用户界面（UI）面板", + "6_TextBox_5": "样本日期", + "6_ArrowText_6": "2D解剖图像查看器", + "7_WelcomeModule_title": "欢迎模块", + "8_WelcomeModule_title": "欢迎模块", + "12_WelcomeModule_title": "欢迎模块", + "7_TextBox_1": "“文档与教程”选项卡中包含指向 3D Slicer 培训手册和文档页面的链接。", + "8_TextBox_0": "“欢迎”模块面板中包含用于加载不同类型数据的快捷方式。此外，还提供了一系列示例数据。\n\n点击“下载示例数据”即可访问“示例数据”模块", + "9_SampleData_title": "示例数据", + "10_SampleData_title": "示例数据", + "11_SampleData_title": "示例数据", + "9_TextBox_1": "“示例数据”模块包含指向不同示例数据集的链接，这些数据集可下载到 Slicer 中。", + "10_TextBox_0": "脑部磁共振成像", + "10_TextBox_1": "这次CT", + "10_TextBox_2": "心脏CT", + "10_TextBox_3": "扩散张量成像（DTI）数据集", + "10_TextBox_4": "脑部MRI（肿瘤患者）", + "11_ArrowText_0": "点击 MRHead 下载\nSlicer 中的数据集。", + "12_TextBox_0": "脑部MR扫描图像显示在\n2D查看器中。", + "13_MRBrainSampleDataset_title": "MR脑组织样本数据集", + "14_MRBrainSampleDataset_title": "MR脑组织样本数据集", + "15_MRBrainSampleDataset_title": "MR脑组织样本数据集", + "13_TextBox_0": "将鼠标悬停在红色查看器左上角的小图钉图标上，即可显示查看器菜单", + "14_TextBox_1": "点击链接图标可将这三个 2D 查看器关联起来，再点击其旁边的眼睛图标\n即可在 3D 查看器中显示切片", + "15_TextBox_0": "轴向、冠状面和矢状面切片将在3D查看器中显示。\n使用工具栏中的绿色箭头返回“欢迎”模块", + "16_GoingFurther_title": "更进一步", + "17_TextBox_0": "更进一步", + "16_TextBox_0": "如需进一步了解 Slicer 及其各项功能，请访问《Slicer 指南》", + "17_TextBox_1": "https://training.slicer.org/", + "18_TextBox_0": "致谢", + "18_TextBox_1": "全国医学影像\n计算联盟\nNIH U54EB005149\n\n神经影像分析中心\nNIH P41EB015902\n\n陈-扎克伯格倡议（CZI）" +} \ No newline at end of file diff --git a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_de.json b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_de.json index 1c8fe30a..47b5ab91 100644 --- a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_de.json +++ b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_de.json @@ -1,39 +1,39 @@ { - "0_TextBox_0": "Slicer4 Minute\n", - "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School", + "0_TextBox_0": "Slicer4 Minuten\n", + "0_TextBox_1": "Dr. Sonia Pujol", + "0_TextBox_3": "Assistenzprofessor für Radiologie\nBrigham and Women’s Hospital\nHarvard Medical School", "1_TextBox_0": "Slicer4 Minuten Tutorial", "16_TextBox_0": "Slicer4 Minuten Tutorial", - "1_TextBox_1": "This tutorial is a 4-minute introduction to the 3D visualization capabilities of the Slicer5 software for medical image analysis. ", - "2_TextBox_0": "Slicer5 software & dataset", - "2_TextBox_1": "*Download the Slicer5 software available at http://download.slicer.org\n\n*Download the Slicer4minute dataset available at https://www.slicer.org/wiki/Documentation/4.10/Training", + "1_TextBox_1": "Dieses Tutorial bietet eine 4-minütige Einführung in die 3D-Visualisierungsfunktionen der Software „Slicer5“ zur medizinischen Bildanalyse. ", + "2_TextBox_0": "Slicer5-Software und Datensatz", + "2_TextBox_1": "*Laden Sie die Slicer5-Software unter http://download.slicer.org herunter.\n\n*Laden Sie den Slicer4minute-Datensatz unter https://www.slicer.org/wiki/Documentation/4.10/Training herunter.", "3_3DSlicerversion5_title": "3D Slicer version 5", - "4_TextBox_0": "3D Slicer Scene", - "4_TextBox_1": "*A Slicer scene is a MRML (Medical Reality Modeling Language) file that contains a list of elements loaded into Slicer (volumes, models, fiducials, transforms, etc.)\n*In the following example, we use a scene 'Slicer4minute.mrml' composed of an MRI scan and 3D models of the head. \n*The scene file and datasets have been saved as a MRB (Medical Reality Bundle) file. \n*The MRB file format is Slicer's archive file format.", - "5_LoadingtheSlicer4minutedataset_title": "Loading the Slicer4minute dataset", - "5_TextBox_1": "Drag and drop the slicer4minute.mrb to load the scene in Slicer", - "6_Slicer4minuteScene_title": "Slicer4minute Scene", - "6_TextBox_1": "Slicer displays the elements of the slicer4minute scene. The scene contains and MRI scan and 3D surface models of the brain.", - "7_3DVisualization_title": "3D Visualization", - "9_3DVisualization_title": "3D Visualization", - "10_3DVisualization_title": "3D Visualization", - "11_3DVisualization_title": "3D Visualization", - "13_3DVisualization_title": "3D Visualization", - "14_3DVisualization_title": "3D Visualization", - "15_3DVisualization_title": "3D Visualization", - "7_TextBox_0": "Select the module Models", - "8_3Dvisualization_title": "3D visualization", - "8_TextBox_0": "Click on the pin icon on the top left corner of the red slice to display the slice Viewer menu.\nClick on the eye to display the axial slice in the 3D viewer", - "9_TextBox_1": "Use the slider of the red viewer to browse through the axial MR slices. \n\nSlicer simultaneously displays the axial slice in the 3D viewer", - "10_TextBox_0": "Select the Skin model and lower its opacity using the Opacity slider in the 3D Display tab", - "10_TextBox_1": "The skull_bone.vtk model appears through the skin.", - "11_TextBox_0": "Position the mouse in the 3D viewer, click on the left-mouse button to drag and rotate the model. \nClick on the right-mouse button to zoom in and out", - "12_AnatomicalViews_title": "Anatomical Views", - "12_TextBox_0": "Click on the pin icons in the top left corner of the red and green viewer to display the slice viewer menu\n\nClick on the eye icon to display the axial and coronal slice in the 3D viewer", - "13_TextBox_0": "Turn off the visibility of the skull to display the brain white matter model", - "14_TextBox_0": "The white matter surface, as well as the left and right optic nerves, appear in the viewer", - "15_TextBox_0": "Select the hemispheric_white_matter.vtk model\n\nCheck Clipping in the 3D Display tab\n\nIn the Clipping Planes tab, select the option 'Green Slice Clipping' and check 'Negative'", - "16_TextBox_1": "*This tutorial was a short introduction on interactive 3D visualization of MRI data and 3D models in Slicer.\n\n*The Slicer5 training compendium contains a series of tutorials and pre-computed datasets to learn how to use the software.", - "17_TextBox_0": "Acknowledgements", - "17_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n" + "4_TextBox_0": "3D-Slicer-Szene", + "4_TextBox_1": "*Eine Slicer-Szene ist eine MRML-Datei (Medical Reality Modeling Language), die eine Liste der in Slicer geladenen Elemente enthält (Volumen, Modelle, Referenzmarken, Transformationen usw.).\n*Im folgenden Beispiel verwenden wir eine Szene namens „Slicer4minute.mrml“, die aus einem MRT-Scan und 3D-Modellen des Kopfes besteht. \n*Die Szenendatei und die Datensätze wurden als MRB-Datei (Medical Reality Bundle) gespeichert. \n*Das MRB-Dateiformat ist das Archivdateiformat von Slicer.", + "5_LoadingtheSlicer4minutedataset_title": "Laden des Datensatzes „Slicer4minute“", + "5_TextBox_1": "Ziehen Sie die Datei „slicer4minute.mrb“ per Drag & Drop, um die Szene in Slicer zu laden.", + "6_Slicer4minuteScene_title": "Szene aus „Slicer4minute“", + "6_TextBox_1": "Slicer zeigt die Elemente der Szene „slicer4minute“ an. Die Szene enthält einen MRT-Scan sowie 3D-Oberflächenmodelle des Gehirns.", + "7_3DVisualization_title": "3D-Visualisierung", + "9_3DVisualization_title": "3D-Visualisierung", + "10_3DVisualization_title": "3D-Visualisierung", + "11_3DVisualization_title": "3D-Visualisierung", + "13_3DVisualization_title": "3D-Visualisierung", + "14_3DVisualization_title": "3D-Visualisierung", + "15_3DVisualization_title": "3D-Visualisierung", + "7_TextBox_0": "Wählen Sie das Modul „Modelle“ aus", + "8_3Dvisualization_title": "3D-Visualisierung", + "8_TextBox_0": "Klicken Sie auf das Stecknadel-Symbol in der oberen linken Ecke des roten Schnitts, um das Menü des Schnitt-Viewers anzuzeigen.\nKlicken Sie auf das Augensymbol, um den axialen Schnitt im 3D-Viewer anzuzeigen.", + "9_TextBox_1": "Verwenden Sie den Schieberegler des roten Viewers, um durch die axialen MRT-Schnitte zu blättern. \n\nSlicer zeigt gleichzeitig den axialen Schnitt im 3D-Viewer an", + "10_TextBox_0": "Wählen Sie das Hautmodell aus und verringern Sie dessen Deckkraft mithilfe des Schiebereglers „Deckkraft“ auf der Registerkarte „3D-Anzeige“.", + "10_TextBox_1": "Das Modell „skull_bone.vtk“ ist durch die Haut hindurch sichtbar.", + "11_TextBox_0": "Bewegen Sie den Mauszeiger in den 3D-Viewer und klicken Sie mit der linken Maustaste, um das Modell zu verschieben und zu drehen. \nKlicken Sie mit der rechten Maustaste, um die Ansicht zu vergrößern oder zu verkleinern.", + "12_AnatomicalViews_title": "Anatomische Darstellungen", + "12_TextBox_0": "Klicken Sie auf die Stecknadel-Symbole in der oberen linken Ecke des roten und grünen Viewers, um das Menü des Schnitt-Viewers anzuzeigen.\n\nKlicken Sie auf das Augensymbol, um den axialen und den koronalen Schnitt im 3D-Viewer anzuzeigen.", + "13_TextBox_0": "Deaktivieren Sie die Sichtbarkeit des Schädels, um das Modell der weißen Hirnsubstanz anzuzeigen", + "14_TextBox_0": "Die Oberfläche der weißen Substanz sowie der linke und der rechte Sehnerv sind im Bild zu erkennen", + "15_TextBox_0": "Wählen Sie das Modell „hemispheric_white_matter.vtk“ aus.\n\nAktivieren Sie auf der Registerkarte „3D-Anzeige“ die Option „Clipping“.\n\nWählen Sie auf der Registerkarte „Clipping-Ebenen“ die Option „Green Slice Clipping“ aus und aktivieren Sie „Negativ“.", + "16_TextBox_1": "*Dieses Tutorial bot eine kurze Einführung in die interaktive 3D-Visualisierung von MRT-Daten und 3D-Modellen in Slicer.\n\n*Das Slicer5-Schulungskompendium enthält eine Reihe von Tutorials und vorberechneten Datensätzen, mit denen Sie den Umgang mit der Software erlernen können.", + "17_TextBox_0": "Danksagungen", + "17_TextBox_1": "Nationale Allianz für medizinische Bildverarbeitung\n(National Alliance for Medical Image\nComputing)\nNIH U54EB005149\n\nZentrum für Neurobildanalyse\nNIH P41EB015902\n" } \ No newline at end of file diff --git a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_hu.json b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_hu.json index 7ae7834b..41e2bb39 100644 --- a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_hu.json +++ b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_hu.json @@ -1,39 +1,39 @@ { - "0_TextBox_0": "Slicer4 Minute\n", + "0_TextBox_0": "Slicer4 perc\n", "0_TextBox_1": "Sonia Pujol, Ph.D.", - "0_TextBox_3": "Assistant Professor of Radiology\nBrigham and Women’s Hospital\nHarvard Medical School", - "1_TextBox_0": "Slicer4 minute tutorial", - "16_TextBox_0": "Slicer4 minute tutorial", - "1_TextBox_1": "This tutorial is a 4-minute introduction to the 3D visualization capabilities of the Slicer5 software for medical image analysis. ", - "2_TextBox_0": "Slicer5 software & dataset", - "2_TextBox_1": "*Download the Slicer5 software available at http://download.slicer.org\n\n*Download the Slicer4minute dataset available at https://www.slicer.org/wiki/Documentation/4.10/Training", - "3_3DSlicerversion5_title": "3D Slicer version 5", - "4_TextBox_0": "3D Slicer Scene", - "4_TextBox_1": "*A Slicer scene is a MRML (Medical Reality Modeling Language) file that contains a list of elements loaded into Slicer (volumes, models, fiducials, transforms, etc.)\n*In the following example, we use a scene 'Slicer4minute.mrml' composed of an MRI scan and 3D models of the head.\n*The scene file and datasets have been saved as a MRB (Medical Reality Bundle) file.\n*The MRB file format is Slicer's archive file format.", - "5_LoadingtheSlicer4minutedataset_title": "Loading the Slicer4minute dataset", - "5_TextBox_1": "Drag and drop the slicer4minute.mrb to load the scene in Slicer", - "6_Slicer4minuteScene_title": "Slicer4minute Scene", - "6_TextBox_1": "Slicer displays the elements of the slicer4minute scene. The scene contains and MRI scan and 3D surface models of the brain.", - "7_3DVisualization_title": "3D Visualization", - "9_3DVisualization_title": "3D Visualization", - "10_3DVisualization_title": "3D Visualization", - "11_3DVisualization_title": "3D Visualization", - "13_3DVisualization_title": "3D Visualization", - "14_3DVisualization_title": "3D Visualization", - "15_3DVisualization_title": "3D Visualization", - "7_TextBox_0": "Select the module Models", - "8_3Dvisualization_title": "3D visualization", - "8_TextBox_0": "Click on the pin icon on the top left corner of the red slice to display the slice Viewer menu.\nClick on the eye to display the axial slice in the 3D viewer", - "9_TextBox_1": "Use the slider of the red viewer to browse through the axial MR slices.\n\nSlicer simultaneously displays the axial slice in the 3D viewer", - "10_TextBox_0": "Select the Skin model and lower its opacity using the Opacity slider in the 3D Display tab", - "10_TextBox_1": "The skull_bone.vtk model appears through the skin.", - "11_TextBox_0": "Position the mouse in the 3D viewer, click on the left-mouse button to drag and rotate the model.\nClick on the right-mouse button to zoom in and out", - "12_AnatomicalViews_title": "Anatomical Views", - "12_TextBox_0": "Click on the pin icons in the top left corner of the red and green viewer to display the slice viewer menu\n\nClick on the eye icon to display the axial and coronal slice in the 3D viewer", - "13_TextBox_0": "Turn off the visibility of the skull to display the brain white matter model", - "14_TextBox_0": "The white matter surface, as well as the left and right optic nerves, appear in the viewer", - "15_TextBox_0": "Select the hemispheric_white_matter.vtk model\n\nCheck Clipping in the 3D Display tab\n\nIn the Clipping Planes tab, select the option 'Green Slice Clipping' and check 'Negative'", - "16_TextBox_1": "*This tutorial was a short introduction on interactive 3D visualization of MRI data and 3D models in Slicer.\n\n*The Slicer5 training compendium contains a series of tutorials and pre-computed datasets to learn how to use the software.", - "17_TextBox_0": "Acknowledgements", + "0_TextBox_3": "Radiológiai adjunktus\nBrigham and Women’s Hospital\nHarvard Medical School", + "1_TextBox_0": "Slicer4 perces oktatóanyag", + "16_TextBox_0": "Slicer4 perces oktatóanyag", + "1_TextBox_1": "Ez az oktatóanyag egy 4 perces bevezetés a Slicer5 szoftver orvosi képelemzéshez használható 3D vizualizációs lehetőségeibe. ", + "2_TextBox_0": "Slicer5 szoftver & adatkészlet", + "2_TextBox_1": "*Töltse le a Slicer5 szoftvert a http://download.slicer.org címről\n\n*Töltse le a Slicer4minute adatkészletet a https://www.slicer.org/wiki/Documentation/4.10/Training címről", + "3_3DSlicerversion5_title": "3D Slicer 5-ös verzió", + "4_TextBox_0": "3D Slicer jelenet", + "4_TextBox_1": "*A Slicer jelenet egy MRML (Medical Reality Modeling Language) fájl, amely a Slicerbe betöltött elemek listáját tartalmazza (kötetek, modellek, fiduciálisok, transzformációk stb.)\n*A következő példában a 'Slicer4minute.mrml' jelenetet használjuk, amely egy MRI-felvételből és a fej 3D-s modelljeiből áll.\n*A jelenetfájl és az adatkészletek MRB (Medical Reality Bundle) fájlként lettek elmentve.\n*Az MRB fájlformátum a Slicer archív fájlformátuma.", + "5_LoadingtheSlicer4minutedataset_title": "A Slicer4minute adatkészlet betöltése", + "5_TextBox_1": "Húzza és ejtse a slicer4minute.mrb fájlt a jelenet Slicerbe való betöltéséhez", + "6_Slicer4minuteScene_title": "Slicer4minute jelenet", + "6_TextBox_1": "A Slicer megjeleníti a slicer4minute jelenet elemeit. A jelenet egy MRI-felvételt és az agy 3D-s felszíni modelljeit tartalmazza.", + "7_3DVisualization_title": "3D vizualizáció", + "9_3DVisualization_title": "3D vizualizáció", + "10_3DVisualization_title": "3D vizualizáció", + "11_3DVisualization_title": "3D vizualizáció", + "13_3DVisualization_title": "3D vizualizáció", + "14_3DVisualization_title": "3D vizualizáció", + "15_3DVisualization_title": "3D vizualizáció", + "7_TextBox_0": "Válassza ki a Modellek modult", + "8_3Dvisualization_title": "3D vizualizáció", + "8_TextBox_0": "Kattintson a piros szelet bal felső sarkában lévő gombostű ikonra a szelet nézegető menü megjelenítéséhez.\nKattintson a szemre az axiális szelet 3D nézegetőben való megjelenítéséhez", + "9_TextBox_1": "Használja a piros nézegető csúszkáját az axiális MR-szeletek böngészéséhez.\n\nA Slicer egyidejűleg megjeleníti az axiális szeletet a 3D nézegetőben", + "10_TextBox_0": "Válassza ki a Bőr modellt, és csökkentse az átlátszatlanságát az Átlátszatlanság csúszkával a 3D megjelenítés lapon", + "10_TextBox_1": "A skull_bone.vtk modell láthatóvá válik a bőrön keresztül.", + "11_TextBox_0": "Helyezze az egeret a 3D nézegetőbe, kattintson a bal egérgombra a modell mozgatásához és forgatásához.\nKattintson a jobb egérgombra a nagyításhoz és kicsinyítéshez", + "12_AnatomicalViews_title": "Anatómiai nézetek", + "12_TextBox_0": "Kattintson a piros és zöld nézegető bal felső sarkában lévő gombostű ikonokra a szelet nézegető menü megjelenítéséhez\n\nKattintson a szem ikonra az axiális és koronális szelet 3D nézegetőben való megjelenítéséhez", + "13_TextBox_0": "Kapcsolja ki a koponya láthatóságát az agyi fehérállomány modell megjelenítéséhez", + "14_TextBox_0": "A fehérállomány felszíne, valamint a bal és jobb látóideg megjelenik a nézegetőben", + "15_TextBox_0": "Válassza ki a hemispheric_white_matter.vtk modellt\n\nJelölje be a Vágás opciót a 3D megjelenítés lapon\n\nA Vágási síkok lapon válassza a 'Zöld szelet vágás' opciót, és jelölje be a 'Negatív' lehetőséget", + "16_TextBox_1": "*Ez az oktatóanyag rövid bevezetés volt az MRI-adatok és 3D-s modellek interaktív 3D vizualizációjába a Slicerben.\n\n*A Slicer5 képzési összefoglaló oktatóanyagok és előre kiszámított adatkészletek sorozatát tartalmazza a szoftver használatának megtanulásához.", + "17_TextBox_0": "Köszönetnyilvánítás", "17_TextBox_1": "National Alliance for Medical Image\nComputing\nNIH U54EB005149\n\nNeuroimage Analysis Center\nNIH P41EB015902\n" } \ No newline at end of file diff --git a/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_zh_Hans.json b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_zh_Hans.json new file mode 100644 index 00000000..f1af20d0 --- /dev/null +++ b/Tutorials/STC-GEN-102_FourMinuteTutorial/Translations/text_dict_zh_Hans.json @@ -0,0 +1,39 @@ +{ + "0_TextBox_0": "Slicer4 Minute\n", + "0_TextBox_1": "索尼娅·普约尔，博士", + "0_TextBox_3": "放射科助理教授\n布里格姆妇女医院\n哈佛医学院", + "1_TextBox_0": "Slicer 4分钟教程", + "16_TextBox_0": "Slicer 4分钟教程", + "1_TextBox_1": "本教程是一段时长4分钟的视频，旨在介绍用于医学图像分析的Slicer5软件的3D可视化功能。", + "2_TextBox_0": "Slicer5 软件及数据集", + "2_TextBox_1": "*请从 http://download.slicer.org 下载 Slicer5 软件\n\n*请从 https://www.slicer.org/wiki/Documentation/4.10/Training 下载 Slicer4minute 数据集", + "3_3DSlicerversion5_title": "3D Slicer 5版", + "4_TextBox_0": "3D Slicer 场景", + "4_TextBox_1": "*Slicer 场景是一个 MRML（医学现实建模语言）文件，其中包含加载到 Slicer 中的元素列表（体素、模型、定位标志、变换等）。\n*在下面的示例中，我们使用了一个名为“Slicer4minute.mrml”的场景，该场景由 MRI 扫描数据和头部的 3D 模型组成。\n*该场景文件和数据集已保存为 MRB（医疗现实捆绑包）文件。 \n*MRB 文件格式是 Slicer 的归档文件格式。", + "5_LoadingtheSlicer4minutedataset_title": "加载 Slicer4minute 数据集", + "5_TextBox_1": "将 slicer4minute.mrb 文件拖放至 Slicer 中以加载该场景", + "6_Slicer4minuteScene_title": "《Slicer4minute》场景", + "6_TextBox_1": "“切片器”显示了slicer4minute场景中的元素。该场景包含一张MRI扫描图像和大脑的3D表面模型。", + "7_3DVisualization_title": "3D 可视化", + "9_3DVisualization_title": "3D 可视化", + "10_3DVisualization_title": "3D 可视化", + "11_3DVisualization_title": "3D 可视化", + "13_3DVisualization_title": "3D 可视化", + "14_3DVisualization_title": "3D 可视化", + "15_3DVisualization_title": "3D 可视化", + "7_TextBox_0": "选择“模型”模块", + "8_3Dvisualization_title": "3D可视化", + "8_TextBox_0": "点击红色切片左上角的图钉图标，以显示切片查看器菜单。\n点击眼睛图标，在3D查看器中显示轴向切片", + "9_TextBox_1": "使用红色查看器中的滑块浏览轴向MR切片。\n\nSlicer会在3D查看器中同时显示该轴向切片", + "10_TextBox_0": "选择“皮肤”模型，并在“3D 显示”选项卡中使用“不透明度”滑块降低其不透明度", + "10_TextBox_1": "skull_bone.vtk 模型透过皮肤显现出来。", + "11_TextBox_0": "将鼠标移至3D查看器中，点击鼠标左键拖动并旋转模型。\n点击鼠标右键可放大或缩小", + "12_AnatomicalViews_title": "解剖图", + "12_TextBox_0": "点击红色和绿色查看器左上角的图钉图标，以显示切片查看器菜单\n\n点击眼睛图标，在3D查看器中显示轴向和冠状切片", + "13_TextBox_0": "关闭颅骨的可见性，以显示大脑白质模型", + "14_TextBox_0": "白质表面以及左右视神经在显示器上可见", + "15_TextBox_0": "选择 hemispheric_white_matter.vtk 模型\n\n在“3D 显示”选项卡中勾选“剪切”\n\n在“剪切平面”选项卡中，选择“绿色切片剪切”选项，并勾选“负”", + "16_TextBox_1": "*本教程简要介绍了如何在 Slicer 中对 MRI 数据和 3D 模型进行交互式 3D 可视化。\n\n*《Slicer5 培训手册》包含一系列教程和预处理数据集，用于学习如何使用该软件。", + "17_TextBox_0": "致谢", + "17_TextBox_1": "全国医学影像\n计算联盟\nNIH U54EB005149\n\n神经影像分析中心\nNIH P41EB015902\n" +} \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_de.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_de.json index 2bd0189c..7cb48a6a 100644 --- a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_de.json +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_de.json @@ -1,49 +1,49 @@ { "0_TextBox_0": "AI-Basisbezogene Aufteilung in 3D Slicer", - "0_TextBox_1": "Sonia Pujol, Ph. D. \nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", - "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", - "1_TextBox_0": "Manual vs AI-powered Segmentation", - "2_TextBox_0": "Manual vs AI-powered Segmentation", - "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", - "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", - "3_TextBox_0": "AI Terminology", - "3_TextBox_1": "A Model is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", - "4_TextBox_0": "3D Slicer AI Tutorial", - "4_TextBox_1": "This tutorial focuses on running inference tasks using various pre-trained AI models for automated segmentation of anatomical and pathological structures.", - "5_TextBox_0": "MONAIAuto3DSeg Slicer extension", - "6_TextBox_0": "MONAIAuto3DSeg Slicer extension", - "5_TextBox_1": "This tutorial uses the pre-trained models of the MONAIAuto3DSeg Slicer extension.\n\n\nThe tool is designed to work on laptops or on average desktop computer without a GPU.", - "6_TextBox_1": "Multiple modalities Support (CT, MRI).\n\n\nMultiple anatomies (head, thorax, abdomen, pelvis, etc.).\n\n\nMultiple pathologies (tumor, hemorrhage, edema).", - "7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks", - "7_TextBox_1": "Segmentation Task #1: Prostate \n\n\nSegmentation Task #2: Brain Glioma \n\n\nSegmentation Task #3: Whole Body Segmentation", - "8_TextBox_0": "AI Segmentation Task #1: Prostate", - "9_TextBox_1": "AI-based Segmentation of Peripheral Zone (PZ) and Transition Zone (TZ) of the prostate on T2-weighted MRI Images.\n\n\nDataset:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", - "10_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets\n\nSelect the dataset3_ProstateMRI and click on Open", - "11_TextBox_0": "Slicer loads the prostate MRI dataset", - "12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelect the MONAIAuto3DSeg module", - "13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu", - "13_TextBox_1": "Select the model Prostate - Multisequence", - "14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-t2 and the Input ADC volume msd-prostate-01-adc", - "14_TextBox_1": "Click on Create new segmentation on Apply", - "15_TextBox_0": "Slicer starts the inference", - "16_TextBox_0": "Slicer shows the results of the AI-based prostate segmentation", - "17_TextBox_0": "AI Segmentation Task #2: Brain Glioma", - "18_TextBox_1": "AI-based Segmentation of Neoplasm, Necrosis and Edema in Brain MRI images.\n\n\nDatasets:\n1) BraTS-GLI_00005-000-t1n (T1-weighted)\n2) BraTS-GLI_00005-000-t1c (T1-weighted post-Gd)\n3) BraTS-GLI_00005-000-t2w (T2-weighted)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR )", - "19_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose File(s) to Add and browse to the location of the Slicer datasets\n\nIn the subdirectory dataset4_BrainMRI_Glioma, select the four datasets BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\nClick on Open", - "20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu", - "20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI", - "21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t2f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", - "22_TextBox_1": "Slicer starts running the inference task\n\nOnce the segmentation is done, 'Processing finished' appears in the Slicer GUI", - "23_TextBox_1": "Click on Show 3D to display the 3D segments in the 3D Viewer", - "24_TextBox_0": "AI Segmentation Task #3: Whole Body Segmentation", - "25_TextBox_1": "AI-based Segmentation of the whole body.\n\n\nDataset:\nCT_ThoraxAbdomen", - "26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer", - "27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu", - "27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick", - "28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", - "29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick", - "30_TextBox_0": "Conclusion", - "30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.", - "31_TextBox_0": "Acknowledgements", - "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative." + "0_TextBox_1": "Dr. Sonia Pujol \nBrigham and Women’s Hospital,\nHarvard Medical School\nBoston, MA", + "0_TextBox_3": "Slicer-Workshop in Ribeirão Preto\n30. Juni 2025", + "1_TextBox_0": "Manuelle vs. KI-gestützte Segmentierung", + "2_TextBox_0": "Manuelle vs. KI-gestützte Segmentierung", + "1_TextBox_1": "Medizinische Bilder wurden bisher in der Regel manuell segmentiert – ein zeitaufwändiger Prozess, der einen hohen Aufwand seitens der Radiologen erfordert und mit Abweichungen zwischen den einzelnen Befundern behaftet ist.", + "2_TextBox_1": "In den letzten zehn Jahren wurde die Bildsegmentierung durch die Entwicklung von Deep-Learning-Algorithmen vorangetrieben (z. B. nnUnet des Deutschen Krebsforschungszentrums (DKFZ) und der Helmholtz-Gemeinschaft).\n\n\nKI-gestützte Segmentierungswerkzeuge können die Segmentierungszeit verkürzen und reproduzierbarere Ergebnisse liefern.", + "3_TextBox_0": "KI-Fachbegriffe", + "3_TextBox_1": "Ein Modell ist ein KI-Algorithmus, der darauf trainiert wurde, eine bestimmte Aufgabe auszuführen (z. B. ein Modell zur Segmentierung von Hirntumoren).\n\nDie Gewichte eines KI-Modells sind kleine Zahlen, die bestimmen, welche Bedeutung das Modell den verschiedenen Bildmerkmalen beimisst.\n\nWährend der Trainingsphase lernt ein Modell Muster aus von Experten beschrifteten Daten und passt seine Gewichte an, um seine Vorhersagen zu verbessern.\n\nWährend der Validierungs-/Testphase wird das Modell anhand eines separaten Datensatzes bewertet, der während der Trainingsphase nicht verwendet wurde.\n\nBei der Inferenz wird das Modell auf neue Datensätze angewendet, um die spezifische Aufgabe auszuführen, für die es trainiert wurde.", + "4_TextBox_0": "3D Slicer AI-Tutorial", + "4_TextBox_1": "Im Mittelpunkt dieses Tutorials steht die Durchführung von Inferenzaufgaben unter Verwendung verschiedener vortrainierter KI-Modelle zur automatisierten Segmentierung anatomischer und pathologischer Strukturen.", + "5_TextBox_0": "MONAIAuto3DSeg Slicer-Erweiterung", + "6_TextBox_0": "MONAIAuto3DSeg Slicer-Erweiterung", + "5_TextBox_1": "In diesem Tutorial werden die vortrainierten Modelle der Erweiterung „MONAIAuto3DSeg Slicer“ verwendet.\n\n\nDas Tool ist für den Einsatz auf Laptops oder durchschnittlichen Desktop-Computern ohne GPU ausgelegt.", + "6_TextBox_1": "Unterstützung verschiedener Bildgebungsverfahren (CT, MRT).\n\n\nVerschiedene anatomische Bereiche (Kopf, Thorax, Abdomen, Becken usw.).\n\n\nVerschiedene Erkrankungen (Tumor, Blutung, Ödem).", + "7_TextBox_0": "Slicer-AI-Tutorial: Segmentierungsaufgaben", + "7_TextBox_1": "Segmentierungsaufgabe Nr. 1: Prostata \n\n\nSegmentierungsaufgabe Nr. 2: Hirngliom \n\n\nSegmentierungsaufgabe Nr. 3: Ganzkörpersegmentierung", + "8_TextBox_0": "KI-Segmentierungsaufgabe Nr. 1: Prostata", + "9_TextBox_1": "KI-gestützte Segmentierung der peripheren Zone (PZ) und der Übergangszone (TZ) der Prostata auf T2-gewichteten MRT-Bildern.\n\n\nDatensatz:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", + "10_TextBox_1": "Klicken Sie im Modul „Willkommen bei Slicer“ auf „Daten hinzufügen“.\n\nKlicken Sie auf „Verzeichnis zum Hinzufügen auswählen“ und navigieren Sie zum Speicherort der Slicer-Datensätze.\n\nWählen Sie den Datensatz „dataset3_ProstateMRI“ aus und klicken Sie auf „Öffnen“.", + "11_TextBox_0": "Slicer lädt den MRT-Datensatz der Prostata", + "12_TextBox_0": "Klicken Sie im Menü „Module“ auf „Willkommen bei Slicer“ und navigieren Sie zur Kategorie „Segmentierung“.\n\nWählen Sie das Modul „MONAIAuto3DSeg“ aus.", + "13_TextBox_0": "Geben Sie im Menü „Segmentierungsmodell“ den Namen des Modells „Prostate“ ein.", + "13_TextBox_1": "Wählen Sie das Modell „Prostata – Multisequenz“ aus.", + "14_TextBox_0": "Geben Sie das T2-Eingabevolumen „msd-prostate-01-t2“ und das ADC-Eingabevolumen „msd-prostate-01-adc“ ein.", + "14_TextBox_1": "Klicken Sie unter „Anwenden“ auf „Neue Segmentierung erstellen“.", + "15_TextBox_0": "Slicer startet die Inferenz", + "16_TextBox_0": "Slicer zeigt die Ergebnisse der KI-basierten Prostatasegmentierung an", + "17_TextBox_0": "KI-Segmentierungsaufgabe Nr. 2: Hirngliom", + "18_TextBox_1": "KI-gestützte Segmentierung von Neoplasmen, Nekrosen und Ödemen in MRT-Bildern des Gehirns.\n\n\nDatensätze:\n1) BraTS-GLI_00005-000-t1n (T1-gewichtet)\n2) BraTS-GLI_00005-000-t1c (T1-gewichtet nach Gd-Gabe)\n3) BraTS-GLI_00005-000-t2w (T2-gewichtet)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR)", + "19_TextBox_1": "Klicken Sie im Modul „Willkommen bei Slicer“ auf „Daten hinzufügen“\n\nKlicken Sie auf „Datei(en) zum Hinzufügen auswählen“ und navigieren Sie zum Speicherort der Slicer-Datensätze\n\nWählen Sie im Unterverzeichnis „dataset4_BrainMRI_Glioma“ die vier Datensätze „BraTS-GLI-00006-t1c.nii.gz“, „BraTS-GLI-00006-t1n.nii.gz“, „BraTS-GLI-00006-t2f.nii.gz“ und „BraTS-GLI-00006-t2w.nii.gz“ aus\n\nKlicken Sie auf „Öffnen“", + "20_TextBox_0": "Wählen Sie das Modul „MONAIAuto3DSeg“ aus und geben Sie im Menü „Segmentierungsmodell“ den Namen des Modells „Brain Tumor Segmentation“ ein.", + "20_TextBox_1": "Wählen Sie das Modell „Brain Tumor Segmentation (BRATS) GLI“ aus.", + "21_TextBox_0": "Geben Sie die Eingabevolumina wie folgt ein:\n\nEingabevolumen T2F: BraTS-GLI_00005-000-t2f\nEingabevolumen T1C: BraTS-GLI_00005-000-t1c\nEingabe-T1N-Volumen: BraTS-GLI_00005-000-t1n\nEingabe-T2W-Volumen: BraTS-GLI_00005-000-t2w\n\n\nKlicken Sie unter „Anwenden“ auf „Neue Segmentierung erstellen“\n\nKlicken Sie auf „Anwenden“, um die Segmentierung zu starten", + "22_TextBox_1": "Slicer beginnt mit der Ausführung der Inferenzaufgabe\n\nSobald die Segmentierung abgeschlossen ist, erscheint in der Slicer-Benutzeroberfläche die Meldung „Verarbeitung abgeschlossen“", + "23_TextBox_1": "Klicken Sie auf „3D anzeigen“, um die 3D-Segmente im 3D-Viewer anzuzeigen.", + "24_TextBox_0": "KI-Segmentierungsaufgabe Nr. 3: Ganzkörpersegmentierung", + "25_TextBox_1": "KI-gestützte Segmentierung des gesamten Körpers.\n\n\nDatensatz:\nCT_ThoraxAbdomen", + "26_TextBox_0": "Wählen Sie im Modul „DICOM-Daten hinzufügen“ den Patienten „patient1“ aus und doppelklicken Sie auf das Bild „CT_Thorax_Abdomen“, um es in Slicer zu laden.", + "27_TextBox_0": "Wählen Sie das Modul „MONAIAuto3DSeg“ aus und geben Sie im Menü „Segmentierungsmodell“ den Namen des Modells „Whole Body Segmentation“ ein.", + "27_TextBox_1": "Wählen Sie das Modell „Ganzkörper-Segmentierung TS1-quick“ aus.", + "28_TextBox_0": "Wählen Sie das Eingabevolumen „6:CT_Thorax_Abdomen“ aus,\n\nklicken Sie unter „Übernehmen“ auf „Neue Segmentierung erstellen“\n\nKlicken Sie auf „Übernehmen“, um die Segmentierung zu starten", + "29_TextBox_0": "Slicer zeigt die Ergebnisse der KI-basierten Segmentierung mithilfe der Ganzkörper-Segmentierung „TS1-quick“ an.", + "30_TextBox_0": "Fazit", + "30_TextBox_1": "Die 3D Slicer-Erweiterung „MONAIAuto3DSeg“ ermöglicht eine schnelle, KI-basierte Segmentierung anatomischer und pathologischer Strukturen.\n\n\nDas Modul kann auf handelsüblichen Laptops und Desktop-Computern ohne GPU ausgeführt werden.", + "31_TextBox_0": "Danksagungen", + "31_TextBox_1": "Das Internationalisierungsprojekt von 3D Slicer und das Projekt „3D Slicer für Lateinamerika“ wurden durch die finanzielle Unterstützung der Chan Zuckerberg Initiative ermöglicht." } \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_hu.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_hu.json index f7d01c66..cbb88e8f 100644 --- a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_hu.json +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_hu.json @@ -1,49 +1,49 @@ { "0_TextBox_0": "AI-based Segmentation in 3D Slicer", - "0_TextBox_1": "Sonia Pujol, Ph. D. \nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", - "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", - "1_TextBox_0": "Manual vs AI-powered Segmentation", - "2_TextBox_0": "Manual vs AI-powered Segmentation", - "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", - "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", - "3_TextBox_0": "AI Terminology", - "3_TextBox_1": "A Model is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", - "4_TextBox_0": "3D Slicer AI Tutorial", - "4_TextBox_1": "This tutorial focuses on running inference tasks using various pre-trained AI models for automated segmentation of anatomical and pathological structures.", - "5_TextBox_0": "MONAIAuto3DSeg Slicer extension", - "6_TextBox_0": "MONAIAuto3DSeg Slicer extension", - "5_TextBox_1": "This tutorial uses the pre-trained models of the MONAIAuto3DSeg Slicer extension.\n\n\nThe tool is designed to work on laptops or on average desktop computer without a GPU.", - "6_TextBox_1": "Multiple modalities Support (CT, MRI).\n\n\nMultiple anatomies (head, thorax, abdomen, pelvis, etc.).\n\n\nMultiple pathologies (tumor, hemorrhage, edema).", - "7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks", - "7_TextBox_1": "Segmentation Task #1: Prostate \n\n\nSegmentation Task #2: Brain Glioma \n\n\nSegmentation Task #3: Whole Body Segmentation", - "8_TextBox_0": "AI Segmentation Task #1: Prostate", - "9_TextBox_1": "AI-based Segmentation of Peripheral Zone (PZ) and Transition Zone (TZ) of the prostate on T2-weighted MRI Images.\n\n\nDataset:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", - "10_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets\n\nSelect the dataset3_ProstateMRI and click on Open", - "11_TextBox_0": "Slicer loads the prostate MRI dataset", - "12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelect the MONAIAuto3DSeg module", - "13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu", - "13_TextBox_1": "Select the model Prostate - Multisequence", - "14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-t2 and the Input ADC volume msd-prostate-01-adc", - "14_TextBox_1": "Click on Create new segmentation on Apply", - "15_TextBox_0": "Slicer starts the inference", - "16_TextBox_0": "Slicer shows the results of the AI-based prostate segmentation", - "17_TextBox_0": "AI Segmentation Task #2: Brain Glioma", - "18_TextBox_1": "AI-based Segmentation of Neoplasm, Necrosis and Edema in Brain MRI images.\n\n\nDatasets:\n1) BraTS-GLI_00005-000-t1n (T1-weighted)\n2) BraTS-GLI_00005-000-t1c (T1-weighted post-Gd)\n3) BraTS-GLI_00005-000-t2w (T2-weighted)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR )", - "19_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose File(s) to Add and browse to the location of the Slicer datasets\n\nIn the subdirectory dataset4_BrainMRI_Glioma, select the four datasets BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\nClick on Open", - "20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu", - "20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI", - "21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t2f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", - "22_TextBox_1": "Slicer starts running the inference task\n\nOnce the segmentation is done, 'Processing finished' appears in the Slicer GUI", - "23_TextBox_1": "Click on Show 3D to display the 3D segments in the 3D Viewer", - "24_TextBox_0": "AI Segmentation Task #3: Whole Body Segmentation", - "25_TextBox_1": "AI-based Segmentation of the whole body.\n\n\nDataset:\nCT_ThoraxAbdomen", - "26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer", - "27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu", - "27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick", - "28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", - "29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick", - "30_TextBox_0": "Conclusion", - "30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.", - "31_TextBox_0": "Acknowledgements", - "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative." + "0_TextBox_1": "Sonia Pujol, Ph.D. \nBrigham and Women’s Hospital,\nHarvard Medical School\nBoston, MA", + "0_TextBox_3": "Slicer Ribeirão Preto műhely\n2025. június 30.", + "1_TextBox_0": "Kézi szegmentálás kontra mesterséges intelligenciával támogatott szegmentálás", + "2_TextBox_0": "Kézi szegmentálás kontra mesterséges intelligenciával támogatott szegmentálás", + "1_TextBox_1": "Az orvosi képeket hagyományosan kézzel szegmentálták, ami időigényes folyamat, amely a radiológusok részéről jelentős erőfeszítést igényel, és az értékelők közötti eltéréseknek is ki van téve.", + "2_TextBox_1": "Az elmúlt évtizedben a képszegmentálás fejlődését a mélytanulási algoritmusok fejlesztése hajtotta előre (pl. a német Rákkutató Központ (DKFZ) és a Helmholtz Kutatóközpont által kifejlesztett nnUnet).\n\n\nA mesterséges intelligencián alapuló szegmentáló eszközök csökkenthetik a szegmentáláshoz szükséges időt, és jobban reprodukálható eredményeket biztosítanak.", + "3_TextBox_0": "Mesterséges intelligencia szakkifejezések", + "3_TextBox_1": "A modell egy olyan mesterséges intelligencia-algoritmus, amelyet egy adott feladat elvégzésére tanítottak be (pl. agydaganat-szegmentációs modell).\n\nA mesterséges intelligencia-modell súlyai olyan kis számok, amelyek meghatározzák, hogy a modell milyen jelentőséget tulajdonít a különböző képjellemzőknek.\n\nA betanítási fázis során a modell a szakértők által címkézett adatokból tanulja meg a mintákat, és súlyait úgy módosítja, hogy javuljanak előrejelzései.\n\nA validációs/tesztelési fázis során a modellt egy olyan külön adatkészleten értékelik, amelyet a betanítási fázis során nem használtak.\n\nA következtetés során a modellt új adatkészletekre alkalmazzák, hogy elvégezze azt a konkrét feladatot, amelyre betanították.", + "4_TextBox_0": "3D Slicer AI oktatóanyag", + "4_TextBox_1": "Ez az oktatóanyag arra összpontosít, hogyan lehet különböző előre betanított mesterséges intelligencia-modellek segítségével következtetési feladatokat futtatni anatómiai és patológiai struktúrák automatizált szegmentálása céljából.", + "5_TextBox_0": "MONAIAuto3DSeg Slicer kiterjesztés", + "6_TextBox_0": "MONAIAuto3DSeg Slicer kiterjesztés", + "5_TextBox_1": "Ez az oktatóanyag a MONAIAuto3DSeg Slicer kiterjesztés előre betanított modelljeit használja.\n\n\nAz eszköz úgy lett kialakítva, hogy laptopokon vagy átlagos, GPU nélküli asztali számítógépeken is működjön.", + "6_TextBox_1": "Többféle vizsgálati módszer támogatása (CT, MRI).\n\n\nTöbbféle anatómiai terület (fej, mellkas, has, medence stb.).\n\n\nTöbbféle kóros állapot (daganat, vérzés, ödéma).", + "7_TextBox_0": "Slicer AI bemutató: Szegmentációs feladatok", + "7_TextBox_1": "1. szegmentálási feladat: prosztata \n\n\n2. szegmentálási feladat: agyi glióma \n\n\n3. szegmentálási feladat: teljes test szegmentálása", + "8_TextBox_0": "AI-szegmentációs feladat #1: Prosztata", + "9_TextBox_1": "A prosztata perifériás zónájának (PZ) és átmeneti zónájának (TZ) mesterséges intelligencián alapuló szegmentálása T2-súlyozott MRI-felvételeken.\n\n\nAdatkészlet:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", + "10_TextBox_1": "Kattintson az „Add Data” gombra a „Welcome to Slicer” modulban.\n\nKattintson a „Choose Directory to Add” gombra, majd keresse meg a Slicer-adatkészletek helyét.\n\nVálassza ki a „dataset3_ProstateMRI” fájlt, majd kattintson az „Open” gombra.", + "11_TextBox_0": "A Slicer betölti a prosztata MRI-adatkészletét", + "12_TextBox_0": "Kattintson a „Modules” menüben a „Welcome to Slicer” elemre, majd keresse meg a „Segmentation” kategóriát.\n\nVálassza ki a MONAIAuto3DSeg modult.", + "13_TextBox_0": "Írja be a „Prostate” nevű modellt a „Segmentációs modell” menübe", + "13_TextBox_1": "Válassza ki a „Prosztata – Többszekvenciás” modellt", + "14_TextBox_0": "Adja meg a T2-es bemeneti kötetet (msd-prostate-01-t2) és az ADC-s bemeneti kötetet (msd-prostate-01-adc)", + "14_TextBox_1": "Kattintson az „Alkalmazás” menüpontnál az „Új szegmentáció létrehozása” gombra", + "15_TextBox_0": "A Slicer elindítja a következtetést", + "16_TextBox_0": "A Slicer megjeleníti a mesterséges intelligencián alapuló prosztata-szegmentálás eredményeit", + "17_TextBox_0": "2. számú mesterséges intelligencia szegmentációs feladat: agyi glióma", + "18_TextBox_1": "A daganatok, nekrózisok és ödémák mesterséges intelligencián alapuló szegmentálása agyi MRI-felvételeken.\n\n\nAdatkészletek:\n1) BraTS-GLI_00005-000-t1n (T1-súlyozott)\n2) BraTS-GLI_00005-000-t1c (T1-súlyozott, Gd-kezelés után)\n3) BraTS-GLI_00005-000-t2w (T2-súlyozott)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR)", + "19_TextBox_1": "Kattintson az „Add Data” gombra a „Welcome to Slicer” modulban\n\nKattintson a „Fájlok kiválasztása hozzáadáshoz” gombra, és keresse meg a Slicer adatkészletek helyét\n\nA dataset4_BrainMRI_Glioma almappában válassza ki a négy adatkészletet: BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\nKattintson a „Megnyitás” gombra", + "20_TextBox_0": "Válassza ki a MONAIAuto3DSeg modult, majd a „Segmentation model” menüben írja be a modell nevét: „Brain Tumor Segmentation”", + "20_TextBox_1": "Válassza ki a „Brain Tumor Segmentation (BRATS) GLI” modellt", + "21_TextBox_0": "Adja meg a bemeneti képkockákat az alábbiak szerint:\n\nBemeneti T2F képkocka: BraTS-GLI_00005-000-t2f\nBemeneti T1C képkocka: BraTS-GLI_00005-000-t1c\nBemeneti T1N-kép: BraTS-GLI_00005-000-t1n\nBemeneti T2W-kép: BraTS-GLI_00005-000-t2w\n\n\nKattintson az „Új szegmentálás létrehozása” gombra az „Alkalmazás” menüpont alatt\n\nKattintson az „Alkalmazás” gombra a szegmentálás elindításához", + "22_TextBox_1": "A Slicer elindítja a következtetés-feladat futtatását\n\nA szegmentálás befejezése után a „Feldolgozás befejeződött” felirat jelenik meg a Slicer grafikus felületén", + "23_TextBox_1": "Kattintson a „3D megjelenítése” gombra a 3D-szegmensek megjelenítéséhez a 3D-nézőben", + "24_TextBox_0": "3. számú mesterséges intelligencia szegmentációs feladat: Teljes test szegmentálása", + "25_TextBox_1": "A teljes test mesterséges intelligencián alapuló szegmentálása.\n\n\nAdatkészlet:\nCT_ThoraxAbdomen", + "26_TextBox_0": "A „DICOM-adatok hozzáadása” modulban válassza ki a „patient1” beteget, majd kattintson duplán a „CT_Thorax_Abdomen” képre, hogy betöltse azt a Slicerbe.", + "27_TextBox_0": "Válassza ki a MONAIAuto3DSeg modult, majd a „Segmentation model” menüben írja be a modell nevét: „Whole Body Segmentation”", + "27_TextBox_1": "Válassza ki a „Whole Body Segmentation TS1-quick” modellt", + "28_TextBox_0": "Válassza ki a „Volume 6:CT_Thorax_Abdomen” bemeneti adatot,\n\naz „Alkalmazás” gomb mellett kattintson az „Új szegmentálás létrehozása” gombra,\n\naz „Alkalmazás” gombra kattintva indítsa el a szegmentálást", + "29_TextBox_0": "A Slicer a „Whole Body Segmentation TS1-quick” segítségével megjeleníti a mesterséges intelligencián alapuló szegmentálás eredményeit", + "30_TextBox_0": "Következtetés", + "30_TextBox_1": "A 3D Slicer MONAIAuto3DSeg kiterjesztés gyors, mesterséges intelligencián alapuló szegmentálást biztosít anatómiai és patológiai struktúrák esetében.\n\n\nA modul GPU nélküli, szokványos laptopokon és asztali számítógépeken is futtatható.", + "31_TextBox_0": "Köszönetnyilvánítás", + "31_TextBox_1": "A 3D Slicer nemzetköziesítési projektje és a 3D Slicer Latin-Amerikáért projekt megvalósítását a Chan Zuckerberg Initiative által nyújtott támogatás tette lehetővé." } \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hans.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hans.json new file mode 100644 index 00000000..f7d01c66 --- /dev/null +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hans.json @@ -0,0 +1,49 @@ +{ + "0_TextBox_0": "AI-based Segmentation in 3D Slicer", + "0_TextBox_1": "Sonia Pujol, Ph. D. \nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", + "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", + "1_TextBox_0": "Manual vs AI-powered Segmentation", + "2_TextBox_0": "Manual vs AI-powered Segmentation", + "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", + "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", + "3_TextBox_0": "AI Terminology", + "3_TextBox_1": "A Model is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", + "4_TextBox_0": "3D Slicer AI Tutorial", + "4_TextBox_1": "This tutorial focuses on running inference tasks using various pre-trained AI models for automated segmentation of anatomical and pathological structures.", + "5_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "6_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "5_TextBox_1": "This tutorial uses the pre-trained models of the MONAIAuto3DSeg Slicer extension.\n\n\nThe tool is designed to work on laptops or on average desktop computer without a GPU.", + "6_TextBox_1": "Multiple modalities Support (CT, MRI).\n\n\nMultiple anatomies (head, thorax, abdomen, pelvis, etc.).\n\n\nMultiple pathologies (tumor, hemorrhage, edema).", + "7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks", + "7_TextBox_1": "Segmentation Task #1: Prostate \n\n\nSegmentation Task #2: Brain Glioma \n\n\nSegmentation Task #3: Whole Body Segmentation", + "8_TextBox_0": "AI Segmentation Task #1: Prostate", + "9_TextBox_1": "AI-based Segmentation of Peripheral Zone (PZ) and Transition Zone (TZ) of the prostate on T2-weighted MRI Images.\n\n\nDataset:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", + "10_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets\n\nSelect the dataset3_ProstateMRI and click on Open", + "11_TextBox_0": "Slicer loads the prostate MRI dataset", + "12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelect the MONAIAuto3DSeg module", + "13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu", + "13_TextBox_1": "Select the model Prostate - Multisequence", + "14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-t2 and the Input ADC volume msd-prostate-01-adc", + "14_TextBox_1": "Click on Create new segmentation on Apply", + "15_TextBox_0": "Slicer starts the inference", + "16_TextBox_0": "Slicer shows the results of the AI-based prostate segmentation", + "17_TextBox_0": "AI Segmentation Task #2: Brain Glioma", + "18_TextBox_1": "AI-based Segmentation of Neoplasm, Necrosis and Edema in Brain MRI images.\n\n\nDatasets:\n1) BraTS-GLI_00005-000-t1n (T1-weighted)\n2) BraTS-GLI_00005-000-t1c (T1-weighted post-Gd)\n3) BraTS-GLI_00005-000-t2w (T2-weighted)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR )", + "19_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose File(s) to Add and browse to the location of the Slicer datasets\n\nIn the subdirectory dataset4_BrainMRI_Glioma, select the four datasets BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\nClick on Open", + "20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu", + "20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI", + "21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t2f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", + "22_TextBox_1": "Slicer starts running the inference task\n\nOnce the segmentation is done, 'Processing finished' appears in the Slicer GUI", + "23_TextBox_1": "Click on Show 3D to display the 3D segments in the 3D Viewer", + "24_TextBox_0": "AI Segmentation Task #3: Whole Body Segmentation", + "25_TextBox_1": "AI-based Segmentation of the whole body.\n\n\nDataset:\nCT_ThoraxAbdomen", + "26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer", + "27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu", + "27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick", + "28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", + "29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick", + "30_TextBox_0": "Conclusion", + "30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.", + "31_TextBox_0": "Acknowledgements", + "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative." +} \ No newline at end of file diff --git a/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hant.json b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hant.json new file mode 100644 index 00000000..f7d01c66 --- /dev/null +++ b/Tutorials/STC-SEG-103_AIBasedSegmentationIn3DSlicer/Translations/text_dict_zh-Hant.json @@ -0,0 +1,49 @@ +{ + "0_TextBox_0": "AI-based Segmentation in 3D Slicer", + "0_TextBox_1": "Sonia Pujol, Ph. D. \nBrigham and Women's Hospital,\nHarvard Medical School\nBoston, MA", + "0_TextBox_3": "Slicer Ribeirão Preto Workshop\nJune 30, 2025", + "1_TextBox_0": "Manual vs AI-powered Segmentation", + "2_TextBox_0": "Manual vs AI-powered Segmentation", + "1_TextBox_1": "Medical images have traditionally been manually segmented, which is a time-consuming process that requires intensive effort by radiologists and is subject to inter-reader variability.", + "2_TextBox_1": "In the past decade, image segmentation has been powered by the development of deep learning algorithms (e.g. nnUnet by the German Cancer Research Center (DKFZ)/Helmholtz Research).\n\n\nAI-powered segmentation tools can reduce the segmentation time and provide more reproducible results.", + "3_TextBox_0": "AI Terminology", + "3_TextBox_1": "A Model is an AI algorithm that was trained to perform a specific task (e.g. brain tumor segmentation model).\n\nThe Weights of an AI model are small numbers that determine how much importance the model gives to different image features.\n\nDuring the Training phase, a model learns patterns from data labelled by experts and adjusts its weights to improve its predictions.\n\nDuring the Validation/Test phase, the model is evaluated on a separate set of data not used during the Training phase.\n\nDuring Inference, the model is applied to new datasets to perform the specific task it was trained for.", + "4_TextBox_0": "3D Slicer AI Tutorial", + "4_TextBox_1": "This tutorial focuses on running inference tasks using various pre-trained AI models for automated segmentation of anatomical and pathological structures.", + "5_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "6_TextBox_0": "MONAIAuto3DSeg Slicer extension", + "5_TextBox_1": "This tutorial uses the pre-trained models of the MONAIAuto3DSeg Slicer extension.\n\n\nThe tool is designed to work on laptops or on average desktop computer without a GPU.", + "6_TextBox_1": "Multiple modalities Support (CT, MRI).\n\n\nMultiple anatomies (head, thorax, abdomen, pelvis, etc.).\n\n\nMultiple pathologies (tumor, hemorrhage, edema).", + "7_TextBox_0": "Slicer AI Tutorial: Segmentation Tasks", + "7_TextBox_1": "Segmentation Task #1: Prostate \n\n\nSegmentation Task #2: Brain Glioma \n\n\nSegmentation Task #3: Whole Body Segmentation", + "8_TextBox_0": "AI Segmentation Task #1: Prostate", + "9_TextBox_1": "AI-based Segmentation of Peripheral Zone (PZ) and Transition Zone (TZ) of the prostate on T2-weighted MRI Images.\n\n\nDataset:\nmsd_prostate_01-t2\nmsd_prostate_01-adc", + "10_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose Directory to Add and browse to the location of the Slicer datasets\n\nSelect the dataset3_ProstateMRI and click on Open", + "11_TextBox_0": "Slicer loads the prostate MRI dataset", + "12_TextBox_0": "Click on Welcome to Slicer in the Modules' menu and browse to the category Segmentation\n\nSelect the MONAIAuto3DSeg module", + "13_TextBox_0": "Enter the model's name Prostate in the Segmentation model menu", + "13_TextBox_1": "Select the model Prostate - Multisequence", + "14_TextBox_0": "Enter the Input T2 volume msd-prostate-01-t2 and the Input ADC volume msd-prostate-01-adc", + "14_TextBox_1": "Click on Create new segmentation on Apply", + "15_TextBox_0": "Slicer starts the inference", + "16_TextBox_0": "Slicer shows the results of the AI-based prostate segmentation", + "17_TextBox_0": "AI Segmentation Task #2: Brain Glioma", + "18_TextBox_1": "AI-based Segmentation of Neoplasm, Necrosis and Edema in Brain MRI images.\n\n\nDatasets:\n1) BraTS-GLI_00005-000-t1n (T1-weighted)\n2) BraTS-GLI_00005-000-t1c (T1-weighted post-Gd)\n3) BraTS-GLI_00005-000-t2w (T2-weighted)\n4) BraTS-GLI_00005-000-t2f (T2-FLAIR )", + "19_TextBox_1": "Click on Add Data in the Welcome to Slicer module\n\nClick on Choose File(s) to Add and browse to the location of the Slicer datasets\n\nIn the subdirectory dataset4_BrainMRI_Glioma, select the four datasets BraTS-GLI-00006-t1c.nii.gz, BraTS-GLI-00006-t1n.nii.gz, BraTS-GLI-00006-t2f.nii.gz, BraTS-GLI-00006-t2w.nii.gz\n\nClick on Open", + "20_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Brain Tumor Segmentation in the Segmentation model menu", + "20_TextBox_1": "Select the model Brain Tumor Segmentation (BRATS) GLI", + "21_TextBox_0": "Enter the input volumes as follows:\n\nInput T2F volume: BraTS-GLI_00005-000-t2f\nInput T1C volume: BraTS-GLI_00005-000-t1c\nInput T1N volume: BraTS-GLI_00005-000-t1n\nInput T2W volume: BraTS-GLI_00005-000-t2w\n\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", + "22_TextBox_1": "Slicer starts running the inference task\n\nOnce the segmentation is done, 'Processing finished' appears in the Slicer GUI", + "23_TextBox_1": "Click on Show 3D to display the 3D segments in the 3D Viewer", + "24_TextBox_0": "AI Segmentation Task #3: Whole Body Segmentation", + "25_TextBox_1": "AI-based Segmentation of the whole body.\n\n\nDataset:\nCT_ThoraxAbdomen", + "26_TextBox_0": "In the Add DICOM Data module, select the Patient patient1 and double click onthe image CT_Thorax_Abdomen to load it in Slicer", + "27_TextBox_0": "Select the module MONAIAuto3DSeg and enter the model's name Whole Body Segmentation in the Segmentation model menu", + "27_TextBox_1": "Select the model Whole Body Segmentation TS1-quick", + "28_TextBox_0": "Select the input Volume 6:CT_Thorax_Abdomen,\n\nClick on Create new Segmentation on Apply\n\nClick on Apply to start the segmentation", + "29_TextBox_0": "Slicer displays the results of the AI-based segmentation using the Whole Body Segmentation TS1-quick", + "30_TextBox_0": "Conclusion", + "30_TextBox_1": "The 3D Slicer MONAIAuto3DSeg extension provides fast AI-based segmentation of anatomical and pathological structures.\n\n\nThe module can run on standard laptop and desktop computers with no GPU.", + "31_TextBox_0": "Acknowledgements", + "31_TextBox_1": "The 3D Slicer internationalization project and the 3D Slicer for Latin America project have been made possible through funding by the Chan Zuckerberg Initiative." +} \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_ar_SA.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_ar_SA.json index 8d6b98b7..9d20c501 100644 --- a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_ar_SA.json +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_ar_SA.json @@ -13,28 +13,28 @@ "33_TextBox_0": "بيانات الدورة", "4_TextBox_1": "يحتوي الملف ‎3DVisualizationDataset.zip‎ على مجلدين:\n\n‎dataset1_Thorax_Abdomen‎ (الصدر والبطن)\n‎dataset2_Head‎ (الرأس)\n\nقم بفك ضغط الملف ‎3DVisualizationDataset.zip‎ على جهازك للوصول إلى مجموعات البيانات", "5_TextBox_0": "إخلاء المسؤولية", - "5_TextBox_1": "• 3D Slicer is a free open source software application distributed under a BSD style license. \n\n\n• The software is not FDA approved or CE-Marked, and is for research use only.\n", - "6_TextBox_0": "Tutorial Outline", - "6_TextBox_1": "• Part 1: Loading and Viewing DICOM data\n\n• Part 2: Volume Rendering\n\n\n• Part 3: Loading and Viewing 3D models", - "7_TextBox_0": "Part 1: DICOM Data Loading", - "8_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "9_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "8_TextBox_0": "Slicer displays the user interface of the DICOM module", - "8_TextBox_1": "The patient1 study contains a CT Thorax Abdomen dataset", - "9_ArrowText_1": "Select patient1 and click on Load \nto load the dataset in Slicer", - "10_VisualizingDICOMimages_title": "Visualizing DICOM images", - "11_VisualizingDICOMimages_title": "Visualizing DICOM images", - "12_VisualizingDICOMimages_title": "Visualizing DICOM images", - "13_VisualizingDICOMimages_title": "Visualizing DICOM images", - "14_VisualizingDICOMimages_title": "Visualizing DICOM images", - "15_VisualizingDICOMimages_title": "Visualizing DICOM images", - "16_VisualizingDICOMimages_title": "Visualizing DICOM images", - "17_VisualizingDICOMimages_title": "Visualizing DICOM images", - "18_VisualizingDICOMimages_title": "Visualizing DICOM images", - "10_TextBox_0": "Slicer displays the axial, coronal \nand sagittal images of the CT \nThorax Abdomen dataset ", - "11_ArrowText_1": "Left click on DICOM to display \nthe list of modules of Slicer", - "11_ArrowText_2": "Select the module \nVolumes", - "12_ArrowText_0": "Click on the CT-abdomen \npreset to automatically adjust \nthe window/level display of the \nCT dataset", + "5_TextBox_1": "• 3D Slicer هو برنامج مجاني مفتوح المصدر يتم توزيعه بموجب ترخيص من نوع BSD.\n\n\n• هذا البرنامج غير معتمد من إدارة الغذاء والدواء الأمريكية (FDA) ولا يحمل علامة CE، وهو مخصص للاستخدام في الأغراض البحثية فقط.\n", + "6_TextBox_0": "مخطط الدرس", + "6_TextBox_1": "• الجزء 1: تحميل وعرض بيانات DICOM\n\n• الجزء 2: عرض الحجم\n\n\n• الجزء 3: تحميل وعرض النماذج ثلاثية الأبعاد", + "7_TextBox_0": "الجزء الأول: تحميل بيانات DICOM", + "8_LoadingaDICOMvolume_title": "تحميل ملف DICOM", + "9_LoadingaDICOMvolume_title": "تحميل ملف DICOM", + "8_TextBox_0": "يعرض برنامج Slicer واجهة المستخدم الخاصة بوحدة DICOM", + "8_TextBox_1": "تحتوي دراسة المريض 1 على مجموعة بيانات التصوير المقطعي المحوسب للصدر والبطن", + "9_ArrowText_1": "حدد المريض 1 وانقر على «تحميل»\nلتحميل مجموعة البيانات في Slicer", + "10_VisualizingDICOMimages_title": "عرض صور DICOM", + "11_VisualizingDICOMimages_title": "عرض صور DICOM", + "12_VisualizingDICOMimages_title": "عرض صور DICOM", + "13_VisualizingDICOMimages_title": "عرض صور DICOM", + "14_VisualizingDICOMimages_title": "عرض صور DICOM", + "15_VisualizingDICOMimages_title": "عرض صور DICOM", + "16_VisualizingDICOMimages_title": "عرض صور DICOM", + "17_VisualizingDICOMimages_title": "عرض صور DICOM", + "18_VisualizingDICOMimages_title": "عرض صور DICOM", + "10_TextBox_0": "يعرض برنامج Slicer الصور المحورية والتاجية \nوالسهمية لمجموعة بيانات التصوير المقطعي المحوسب \nللصدر والبطن ", + "11_ArrowText_1": "انقر بزر الماوس الأيسر على DICOM لعرض\nقائمة وحدات Slicer", + "11_ArrowText_2": "اختر الوحدة\nالأحجام", + "12_ArrowText_0": "انقر على الإعداد المسبق «CT-abdomen» \nلضبط \nعرض النافذة/المستوى لمجموعة بيانات \nالتصوير المقطعي المحوسب تلقائيًا", "13_TextBox_1": "• ضع مؤشر الفأرة\n فوق الشريط الأحمر في عارض اللون الأحمر \n(Red Viewer) لعرض قائمة الشرائح Slice \nMenu.\n\n\n• انقر على أيقونة الربط (Links)\n لربط أدوات التحكم بالشرائح\n عبر جميع عارضات الشرائح (Slice Viewers).\n\n\n• انقر على أيقونة العين Eye\n لعرض المقاطع التشريحية الثلاثة \nفي العارض ثلاثي الأبعاد (3D Viewer)", "14_TextBox_0": "• تظهر المقاطع التشريحية الثلاثة\nفي العارض ثلاثي الأبعاد (3D Viewer).", "15_ArrowText_0": "انقر على أيقونة قائمة تخطيط Slicer\nوقم باختيار\nتخطيط الشاشة العريضة التقليدي (Conventional Widescreen layout)", @@ -69,31 +69,31 @@ "32_TextBox_0": "الجزء 3: تحميل\nوعرض النماذج ثلاثية الأبعاد\n", "33_TextBox_1": "• يحتوي المجلد dataset2_Head على مشهد Slicer باسم Head_scene.mrb\n\n• يحتوي المشهد على نماذج ثلاثية الأبعاد من أطلس الدماغ SPL المطوّر بواسطة قسم الأشعة في Brigham and Women’s Hospital،Harvard Medical School (NIH P41 RR013218، NIH R01 MH05074)", "34_TextBox_0": "Slicer Scene", - "34_TextBox_1": "Slicer stores all loaded data in a repository called a scene\n\n\nEach data set, such as an image volume, surface model, or point set, is represented as a node in a Slicer scene.\n\n\nAll Slicer modules operate on the data stored in a Slicer scene.", - "35_LoadingaScene_title": "Loading a Scene", - "35_TextBox_0": "Slicer displays a 3D \nsurface model of the \nhead and 2D MRI slices", - "36_Viewing3Dmodels_title": "Viewing 3D models", - "37_Viewing3Dmodels_title": "Viewing 3D models", - "38_Viewing3Dmodels_title": "Viewing 3D models", - "39_Viewing3Dmodels_title": "Viewing 3D models", - "40_Viewing3Dmodels_title": "Viewing 3D models", - "36_ArrowText_0": "Position the cursor over \nthe pin icon to reveal the \nslice menu and click on \nthe eye icon to display the \naxial slice in the 3D viewer", - "37_ArrowText_1": "Select the Models module \nin the list of models", - "38_ArrowText_0": "Slicer displays the list of \n3D models loaded in the \nscene\n\nSelect the model Skin.vtk", - "39_ArrowText_0": "Lower the opacity of \nthe Skin model using \nthe visibility slider", - "39_TextBox_1": "The skull bone and \neyeballs models appear \nthrough the skin", - "40_ArrowText_1": "Select the skull bone \nmodel and click on the \neye icon to turn off its \nvisibility", - "40_TextBox_2": "The white matter and \noptic nerve models \nappear through the skin", - "41_Interactingwith3Dmodels_title": "Interacting with 3D models", - "42_Interactingwith3Dmodels_title": "Interacting with 3D models", - "43_Interactingwith3Dmodels_title": "Interacting with 3D models", - "44_Interactingwith3Dmodels_title": "Interacting with 3D models", - "41_ArrowText_0": "Click on the eye icon to \ndisplay the coronal slice \nin the 3D viewer", - "42_ArrowText_2": "Select the hemispheric \nwhite matter model and \nselect the option Clipping", - "43_TextBox_0": "Move the coronal slice \nposteriorily to display the \noptic chiasm", - "44_TextBox_0": "Slicer displays a 3D view of \nthe optic chiasm", - "45_TextBox_0": "Conclusion", - "45_TextBox_1": "• 3D Slicer provides advanced functionalities for loading and viewing 3D medical imaging data\n\n• The tutorial demonstrates how to use volume rendering and 3D surface modeling for interactive visualization of CT and MRI data\n\n\nContact: spujol@bwh.harvard.edu", + "34_TextBox_1": "يخزن برنامج Slicer جميع البيانات التي تم تحميلها في مستودع يُسمى «مشهد»\n\n\nيتم تمثيل كل مجموعة بيانات، مثل حجم الصورة أو نموذج السطح أو مجموعة النقاط، كعقدة في مشهد Slicer.\n\n\nتعمل جميع وحدات Slicer على البيانات المخزنة في مشهد Slicer.", + "35_LoadingaScene_title": "تحميل مشهد", + "35_TextBox_0": "يعرض برنامج Slicer نموذجًا ثلاثي الأبعاد \nلسطح \nالرأس وشرائح تصوير بالرنين المغناطيسي ثنائية الأبعاد", + "36_Viewing3Dmodels_title": "عرض النماذج ثلاثية الأبعاد", + "37_Viewing3Dmodels_title": "عرض النماذج ثلاثية الأبعاد", + "38_Viewing3Dmodels_title": "عرض النماذج ثلاثية الأبعاد", + "39_Viewing3Dmodels_title": "عرض النماذج ثلاثية الأبعاد", + "40_Viewing3Dmodels_title": "عرض النماذج ثلاثية الأبعاد", + "36_ArrowText_0": "ضع المؤشر فوق \nرمز الدبوس لإظهار \nقائمة الشرائح، وانقر على \nرمز العين لعرض \nالشريحة المحورية في عارض ثلاثي الأبعاد", + "37_ArrowText_1": "حدد وحدة النماذج\nفي قائمة النماذج", + "38_ArrowText_0": "يعرض Slicer قائمة \nالنماذج ثلاثية الأبعاد التي تم تحميلها في \nالمشهد\n\nاختر النموذج Skin.vtk", + "39_ArrowText_0": "قم بتخفيض شفافية \nنموذج الجلد باستخدام \nشريط التمرير الخاص بالرؤية", + "39_TextBox_1": "تظهر نماذج عظام الجمجمة و\nمقل العيون\nمن خلال الجلد", + "40_ArrowText_1": "حدد نموذج عظم الجمجمة\nوانقر على\nرمز العين لإخفاء\nرؤيته", + "40_TextBox_2": "تظهر نماذج المادة البيضاء و\nالعصب البصري\nمن خلال الجلد", + "41_Interactingwith3Dmodels_title": "التفاعل مع النماذج ثلاثية الأبعاد", + "42_Interactingwith3Dmodels_title": "التفاعل مع النماذج ثلاثية الأبعاد", + "43_Interactingwith3Dmodels_title": "التفاعل مع النماذج ثلاثية الأبعاد", + "44_Interactingwith3Dmodels_title": "التفاعل مع النماذج ثلاثية الأبعاد", + "41_ArrowText_0": "انقر على أيقونة العين \nلعرض المقطع التاجي \nفي عارض ثلاثي الأبعاد", + "42_ArrowText_2": "حدد نموذج المادة البيضاء \nللنصفي الدماغ و\nحدد الخيار \"القص\"", + "43_TextBox_0": "حرك الشريحة التاجية \nنحو الخلف لإظهار \nالتقاطع البصري", + "44_TextBox_0": "يعرض برنامج Slicer منظرًا ثلاثي الأبعاد \nللتقاطع البصري", + "45_TextBox_0": "خاتمة", + "45_TextBox_1": "• يوفر برنامج 3D Slicer وظائف متقدمة لتحميل وعرض بيانات التصوير الطبي ثلاثي الأبعاد\n\n• يوضح البرنامج التعليمي كيفية استخدام تقنية عرض الحجم ونمذجة الأسطح ثلاثية الأبعاد من أجل التصور التفاعلي لبيانات التصوير المقطعي المحوسب (CT) والتصوير بالرنين المغناطيسي (MRI)\n\n\nللتواصل: spujol@bwh.harvard.edu", "46_TextBox_0": "شكر وتقدير", - "46_TextBox_1": "Neuroimage Analysis Center (NIBIB P41 EB015902)" + "46_TextBox_1": "مركز تحليل الصور العصبية (NIBIB P41 EB015902)" } \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_de.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_de.json index e72c20fd..97d0707e 100644 --- a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_de.json +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_de.json @@ -1,99 +1,99 @@ { "0_TextBox_0": "Grundlagen der Datenbelastung und 3D-Visualisierung in 3D Slicer", - "0_TextBox_1": "Author: Sonia Pujol, Ph.D.", - "0_TextBox_2": "24/11/2024", - "0_TextBox_3": "Assistant Professor of Radiology Brigham and Women’s Hospital Harvard Medical School", - "1_TextBox_0": "Overall Goal", - "1_TextBox_1": "This tutorial is an introduction to the basics of loading and viewing DICOM images and 3D models in 3D Slicer.", - "2_TextBox_0": "Learning Objectives", - "2_TextBox_1": " • Following this tutorial, you will be able\n\n• to load and visualize DICOM images in Slicer\n\n• to perform volume rendering of CT data\n\n• to load and visualize 3D models reconstructed from MRI data", - "3_TextBox_0": "Tutorial materials", - "3_TextBox_1": "• 3D Slicer version 5.10\n\n• 3D VisualizationDataSet.zip", - "4_TextBox_0": "Tutorial dataset", - "33_TextBox_0": "Tutorial dataset", - "4_TextBox_1": "The file 3DVisualizationDataset.zip contains two directories:\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\nUnzip the file 3DVisualizationDataset.zip on your computer to access the datasets", - "5_TextBox_0": "Disclaimer", - "5_TextBox_1": "• 3D Slicer is a free open source software application distributed under a BSD style license. \n\n\n• The software is not FDA approved or CE-Marked, and is for research use only.\n", - "6_TextBox_0": "Tutorial Outline", - "6_TextBox_1": "• Part 1: Loading and Viewing DICOM data\n\n• Part 2: Volume Rendering\n\n\n• Part 3: Loading and Viewing 3D models", - "7_TextBox_0": "Part 1: DICOM Data Loading", - "8_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "9_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "8_TextBox_0": "Slicer displays the user interface of the DICOM module", - "8_TextBox_1": "The patient1 study contains a CT Thorax Abdomen dataset", - "9_ArrowText_1": "Select patient1 and click on Load \nto load the dataset in Slicer", - "10_VisualizingDICOMimages_title": "Visualizing DICOM images", - "11_VisualizingDICOMimages_title": "Visualizing DICOM images", - "12_VisualizingDICOMimages_title": "Visualizing DICOM images", - "13_VisualizingDICOMimages_title": "Visualizing DICOM images", - "14_VisualizingDICOMimages_title": "Visualizing DICOM images", - "15_VisualizingDICOMimages_title": "Visualizing DICOM images", - "16_VisualizingDICOMimages_title": "Visualizing DICOM images", - "17_VisualizingDICOMimages_title": "Visualizing DICOM images", - "18_VisualizingDICOMimages_title": "Visualizing DICOM images", - "10_TextBox_0": "Slicer displays the axial, coronal \nand sagittal images of the CT \nThorax Abdomen dataset ", - "11_ArrowText_1": "Left click on DICOM to display \nthe list of modules of Slicer", - "11_ArrowText_2": "Select the module \nVolumes", - "12_ArrowText_0": "Click on the CT-abdomen \npreset to automatically adjust \nthe window/level display of the \nCT dataset", - "13_TextBox_1": "Position the mouse cursor \nover the red banner in the \nRed Viewer to display the slice \nmenu.\n\n\nClick on the Links icon to link \nthe slice controls across all \nSlice Viewers. \n\n\nClick on the Eye icon to\ndisplay the three anatomical \nslices in the 3D Viewer", - "14_TextBox_0": "The three anatomical slices \nappear in the 3D viewer.", - "15_ArrowText_0": "Click on the Slicer layout menu \nicon, and select the \nConventional Widescreen layout", - "16_TextBox_0": "Slicer switches the layout \nto Conventional \nWidescreen layout", - "17_TextBox_0": "Use the right mouse button in the \n3D Viewer to zoom in and out", - "18_TextBox_0": "Use the left mouse button in the \n3D Viewer to rotate the images", - "19_3DViewerController_title": "3D Viewer Controller", - "20_3DViewerController_title": "3D Viewer Controller", - "19_TextBox_1": "Position the mouse cursor over \nthe pin icon in the blue banner \nof the 3D viewer window to \ndisplay the 3DView controller\n\nClick on the second icon on the \ntop row of the 3DView \ncontroller to center the 3D view \non the scene", - "20_ArrowText_1": "Select the Volume Rendering \nmodule in the list of modules ", - "21_TextBox_0": "Part 2: Volume Rendering", - "22_TextBox_0": "Volume Rendering", - "23_VolumeRendering_title": "Volume Rendering", - "24_VolumeRendering_title": "Volume Rendering", - "25_VolumeRendering_title": "Volume Rendering", - "26_VolumeRendering_title": "Volume Rendering", - "27_VolumeRendering_title": "Volume Rendering", - "28_VolumeRendering_title": "Volume Rendering", - "29_VolumeRendering_title": "Volume Rendering", - "30_VolumeRendering_title": "Volume Rendering", - "31_VolumeRendering_title": "Volume Rendering", - "22_TextBox_1": "• Volume rendering \ntechniques enable 3D \nvisualization of 3D \ndatasets\n\n• The Volume Rendering \nmodule in Slicer enables \ninteractive 3D visualization \nof DICOM images", - "23_ArrowText_0": "Click on Preset in the Display tab \nand select the preset CT-Cardiac3 ", - "24_TextBox_2": "Select VTK GPU Ray Casting Rendering\nClick on the eye icon in the Volume tab to display \nthe volume rendered image in the 3D viewer", - "25_ArrowText_0": "Use the shift slider to \nchange the transfer \nfunction and display the\naorta", - "26_ArrowText_0": "Click on Display ROI to \ndisplay a region of interest \n(ROI) in the 3D viewer and \ncheck the option Enable", - "27_TextBox_0": "Turn off the visibility of the \naxial, sagittal and coronal \nslices in the 2D viewer \n\n\nPosition the ROI around the \nleft kidney using the color \nhandles", - "28_ArrowText_0": "Click on the eye icon to \ndisplay the volume rendered \nimage", - "29_TextBox_0": "Slicer displays the \nvolume rendered \nimage of the left kidney ", - "30_TextBox_0": "Extend the ROI to generate \na volume rendered image of \nthe right kidney", - "31_ArrowText_1": "Click on File, then Close Scene\nin the main menu", - "32_TextBox_0": "Part 3: Loading and \nviewing 3D models\n", - "33_TextBox_1": "• The directory dataset2_Head contains the Slicer scene called Head_scene.mrb\n\n• The scene contains 3D models from the SPL brain atlas developed by the department of Radiology at Brigham and Women’s Hospital, Harvard Medical School (NIH P41 RR013218, NIH R01 MH05074)", - "34_TextBox_0": "Slicer Scene", - "34_TextBox_1": "Slicer stores all loaded data in a repository called a scene\n\n\nEach data set, such as an image volume, surface model, or point set, is represented as a node in a Slicer scene.\n\n\nAll Slicer modules operate on the data stored in a Slicer scene.", - "35_LoadingaScene_title": "Loading a Scene", - "35_TextBox_0": "Slicer displays a 3D \nsurface model of the \nhead and 2D MRI slices", - "36_Viewing3Dmodels_title": "Viewing 3D models", - "37_Viewing3Dmodels_title": "Viewing 3D models", - "38_Viewing3Dmodels_title": "Viewing 3D models", - "39_Viewing3Dmodels_title": "Viewing 3D models", - "40_Viewing3Dmodels_title": "Viewing 3D models", - "36_ArrowText_0": "Position the cursor over \nthe pin icon to reveal the \nslice menu and click on \nthe eye icon to display the \naxial slice in the 3D viewer", - "37_ArrowText_1": "Select the Models module \nin the list of models", - "38_ArrowText_0": "Slicer displays the list of \n3D models loaded in the \nscene\n\nSelect the model Skin.vtk", - "39_ArrowText_0": "Lower the opacity of \nthe Skin model using \nthe visibility slider", - "39_TextBox_1": "The skull bone and \neyeballs models appear \nthrough the skin", - "40_ArrowText_1": "Select the skull bone \nmodel and click on the \neye icon to turn off its \nvisibility", - "40_TextBox_2": "The white matter and \noptic nerve models \nappear through the skin", - "41_Interactingwith3Dmodels_title": "Interacting with 3D models", - "42_Interactingwith3Dmodels_title": "Interacting with 3D models", - "43_Interactingwith3Dmodels_title": "Interacting with 3D models", - "44_Interactingwith3Dmodels_title": "Interacting with 3D models", - "41_ArrowText_0": "Click on the eye icon to \ndisplay the coronal slice \nin the 3D viewer", - "42_ArrowText_2": "Select the hemispheric \nwhite matter model and \nselect the option Clipping", - "43_TextBox_0": "Move the coronal slice \nposteriorily to display the \noptic chiasm", - "44_TextBox_0": "Slicer displays a 3D view of \nthe optic chiasm", - "45_TextBox_0": "Conclusion", - "45_TextBox_1": "• 3D Slicer provides advanced functionalities for loading and viewing 3D medical imaging data\n\n• The tutorial demonstrates how to use volume rendering and 3D surface modeling for interactive visualization of CT and MRI data\n\n\nContact: spujol@bwh.harvard.edu", - "46_TextBox_0": "Acknowledgements", - "46_TextBox_1": "Neuroimage Analysis Center (NIBIB P41 EB015902)" + "0_TextBox_1": "Autorin: Dr. Sonia Pujol", + "0_TextBox_2": "24.11.2024", + "0_TextBox_3": "Assistenzprofessor für Radiologie am Brigham and Women’s Hospital der Harvard Medical School", + "1_TextBox_0": "Gesamtziel", + "1_TextBox_1": "Dieses Tutorial bietet eine Einführung in die Grundlagen des Ladens und Anzeigens von DICOM-Bildern und 3D-Modellen in 3D Slicer.", + "2_TextBox_0": "Lernziele", + "2_TextBox_1": " • Nach Abschluss dieses Tutorials sind Sie in der Lage,\n\n• DICOM-Bilder in Slicer zu laden und darzustellen,\n\n• ein Volumenrendering von CT-Daten durchzuführen,\n\n• aus MRT-Daten rekonstruierte 3D-Modelle zu laden und darzustellen", + "3_TextBox_0": "Tutorial-Materialien", + "3_TextBox_1": "• 3D Slicer Version 5.10\n\n• 3D VisualizationDataSet.zip", + "4_TextBox_0": "Tutorial zum Datensatz", + "33_TextBox_0": "Tutorial zum Datensatz", + "4_TextBox_1": "Die Datei „3DVisualizationDataset.zip“ enthält zwei Verzeichnisse:\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\nEntpacken Sie die Datei „3DVisualizationDataset.zip“ auf Ihrem Computer, um auf die Datensätze zuzugreifen.", + "5_TextBox_0": "Haftungsausschluss", + "5_TextBox_1": "• 3D Slicer ist eine kostenlose Open-Source-Software, die unter einer BSD-ähnlichen Lizenz vertrieben wird.\n\n\n• Die Software ist weder von der FDA zugelassen noch mit dem CE-Zeichen versehen und ist ausschließlich für Forschungszwecke bestimmt.\n", + "6_TextBox_0": "Übersicht über das Tutorial", + "6_TextBox_1": "• Teil 1: Laden und Anzeigen von DICOM-Daten\n\n• Teil 2: Volumenrendering\n\n\n• Teil 3: Laden und Anzeigen von 3D-Modellen", + "7_TextBox_0": "Teil 1: Laden von DICOM-Daten", + "8_LoadingaDICOMvolume_title": "Ein DICOM-Volumen laden", + "9_LoadingaDICOMvolume_title": "Ein DICOM-Volumen laden", + "8_TextBox_0": "Slicer zeigt die Benutzeroberfläche des DICOM-Moduls an", + "8_TextBox_1": "Die Studie „Patient1“ enthält einen CT-Datensatz des Thorax und des Abdomens", + "9_ArrowText_1": "Wählen Sie „Patient1“ aus und klicken Sie auf „Laden“\n, um den Datensatz in Slicer zu laden", + "10_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "11_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "12_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "13_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "14_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "15_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "16_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "17_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "18_VisualizingDICOMimages_title": "Visualisierung von DICOM-Bildern", + "10_TextBox_0": "Der Slicer zeigt die axialen, koronalen \nund sagittalen Bilder des CT-Datensatzes \n„Thorax Abdomen“ an ", + "11_ArrowText_1": "Klicken Sie mit der linken Maustaste auf „DICOM“, um \ndie Liste der Slicer-Module anzuzeigen", + "11_ArrowText_2": "Wählen Sie das Modul \n„Volumes“ aus", + "12_ArrowText_0": "Klicken Sie auf die Voreinstellung „CT-Abdomen“, \num die \nFenster-/Pegelanzeige des \nCT-Datensatzes automatisch anzupassen", + "13_TextBox_1": "Bewegen Sie den Mauszeiger \nüber das rote Banner im \n„Red Viewer“, um das Schnittmenü \nanzuzeigen.\n\n\nKlicken Sie auf das Symbol „Links“, um \ndie Schnittsteuerelemente über alle \nSchnitt-Viewer hinweg zu verknüpfen. \n\n\nKlicken Sie auf das Augensymbol, um\ndie drei anatomischen \nSchnitte im 3D-Viewer anzuzeigen", + "14_TextBox_0": "Die drei anatomischen Schnitte \nwerden im 3D-Viewer angezeigt.", + "15_ArrowText_0": "Klicken Sie auf das Symbol für das Slicer-Layout-Menü \nund wählen Sie das \nLayout „Conventional Widescreen“ aus", + "16_TextBox_0": "Slicer wechselt das Layout \nzu „Konventionell“ \n„Breitbild-Layout“", + "17_TextBox_0": "Verwenden Sie die rechte Maustaste im \n3D-Viewer, um die Ansicht zu vergrößern und zu verkleinern", + "18_TextBox_0": "Verwenden Sie die linke Maustaste im \n3D-Viewer, um die Bilder zu drehen", + "19_3DViewerController_title": "3D-Viewer-Controller", + "20_3DViewerController_title": "3D-Viewer-Controller", + "19_TextBox_1": "Bewegen Sie den Mauszeiger über \ndas Stecknadel-Symbol im blauen Banner \ndes 3D-Viewer-Fensters, um \nden 3DView-Controller anzuzeigen\n\nKlicken Sie auf das zweite Symbol in der \noberen Reihe des 3DView-Controllers, \num die 3D-Ansicht \nauf die Szene zu zentrieren", + "20_ArrowText_1": "Wählen Sie das Modul „Volumenrendering“ \naus der Liste der Module aus ", + "21_TextBox_0": "Teil 2: Volumenrendering", + "22_TextBox_0": "Volumenrendering", + "23_VolumeRendering_title": "Volumenrendering", + "24_VolumeRendering_title": "Volumenrendering", + "25_VolumeRendering_title": "Volumenrendering", + "26_VolumeRendering_title": "Volumenrendering", + "27_VolumeRendering_title": "Volumenrendering", + "28_VolumeRendering_title": "Volumenrendering", + "29_VolumeRendering_title": "Volumenrendering", + "30_VolumeRendering_title": "Volumenrendering", + "31_VolumeRendering_title": "Volumenrendering", + "22_TextBox_1": "• Volumenrendering-Techniken \nermöglichen die 3D-Visualisierung \nvon 3D-Datensätzen\n\n• Das Volumenrendering-Modul \nin Slicer ermöglicht \ndie interaktive 3D-Visualisierung \nvon DICOM-Bildern", + "23_ArrowText_0": "Klicken Sie auf der Registerkarte „Anzeige“ auf „Voreinstellung“ \nund wählen Sie die Voreinstellung „CT-Cardiac3“ aus. ", + "24_TextBox_2": "Wählen Sie „VTK GPU Ray Casting Rendering“ aus.\nKlicken Sie auf das Augensymbol auf der Registerkarte „Volume“, um \ndas volumengerenderte Bild im 3D-Viewer anzuzeigen.", + "25_ArrowText_0": "Verwenden Sie den Shift-Schieberegler, um \ndie Übertragungsfunktion \nzu ändern und die\nAorta anzuzeigen", + "26_ArrowText_0": "Klicken Sie auf „ROI anzeigen“, um \neinen Untersuchungsbereich \n(ROI) im 3D-Viewer anzuzeigen, und \naktivieren Sie die Option „Aktivieren“.", + "27_TextBox_0": "Deaktivieren Sie die Darstellung der \naxialen, sagittalen und koronalen \nSchnitte im 2D-Viewer \n\n\nPositionieren Sie die ROI um die \nlinke Niere mithilfe der farbigen \nZuggriffe", + "28_ArrowText_0": "Klicken Sie auf das Augensymbol, um \ndas volumengestützte \nBild anzuzeigen", + "29_TextBox_0": "Slicer zeigt das \nvolumengestützte \nBild der linken Niere an ", + "30_TextBox_0": "Vergrößern Sie den ROI, um \nein volumetrisch gerendertes Bild \nder rechten Niere zu erzeugen", + "31_ArrowText_1": "Klicken Sie im Hauptmenü auf „Datei“ und dann auf „Szene schließen“\n.", + "32_TextBox_0": "Teil 3: Laden und \nAnzeigen von 3D-Modellen\n", + "33_TextBox_1": "• Das Verzeichnis „dataset2_Head“ enthält die Slicer-Szene „Head_scene.mrb“\n\n• Die Szene enthält 3D-Modelle aus dem SPL-Hirnatlas, der von der Abteilung für Radiologie am Brigham and Women’s Hospital der Harvard Medical School entwickelt wurde (NIH P41 RR013218, NIH R01 MH05074)", + "34_TextBox_0": "Slicer-Szene", + "34_TextBox_1": "Slicer speichert alle geladenen Daten in einem Repository, das als „Szene“ bezeichnet wird.\n\n\nJeder Datensatz, wie beispielsweise ein Bildvolumen, ein Oberflächenmodell oder eine Punktmenge, wird in einer Slicer-Szene als Knoten dargestellt.\n\n\nAlle Slicer-Module arbeiten mit den in einer Slicer-Szene gespeicherten Daten.", + "35_LoadingaScene_title": "Eine Szene laden", + "35_TextBox_0": "Slicer zeigt ein 3D-\nOberflächenmodell des \nKopfes sowie 2D-MRT-Schnitte an", + "36_Viewing3Dmodels_title": "3D-Modelle anzeigen", + "37_Viewing3Dmodels_title": "3D-Modelle anzeigen", + "38_Viewing3Dmodels_title": "3D-Modelle anzeigen", + "39_Viewing3Dmodels_title": "3D-Modelle anzeigen", + "40_Viewing3Dmodels_title": "3D-Modelle anzeigen", + "36_ArrowText_0": "Bewegen Sie den Cursor über \ndas Stecknadel-Symbol, um das \nSchnittmenü anzuzeigen, und klicken Sie auf \ndas Augensymbol, um den \naxialen Schnitt im 3D-Viewer anzuzeigen", + "37_ArrowText_1": "Wählen Sie das Modul „Modelle“ \nin der Modellliste aus", + "38_ArrowText_0": "Slicer zeigt die Liste der \nin die \nSzene geladenen 3D-Modelle an\n\nWählen Sie das Modell „Skin.vtk“ aus", + "39_ArrowText_0": "Verringern Sie die Deckkraft \ndes Hautmodells mithilfe \ndes Sichtbarkeitsreglers", + "39_TextBox_1": "Die Modelle des Schädelknochens und \nder Augäpfel sind \ndurch die Haut hindurch zu sehen", + "40_ArrowText_1": "Wählen Sie das Schädelknochen-Modell \naus und klicken Sie auf das \nAugensymbol, um dessen \nSichtbarkeit zu deaktivieren", + "40_TextBox_2": "Die Modelle der weißen Substanz und \ndes Sehnervs \nsind durch die Haut hindurch sichtbar", + "41_Interactingwith3Dmodels_title": "Interaktion mit 3D-Modellen", + "42_Interactingwith3Dmodels_title": "Interaktion mit 3D-Modellen", + "43_Interactingwith3Dmodels_title": "Interaktion mit 3D-Modellen", + "44_Interactingwith3Dmodels_title": "Interaktion mit 3D-Modellen", + "41_ArrowText_0": "Klicken Sie auf das Augensymbol, um \nden koronalen Schnitt \nim 3D-Viewer anzuzeigen", + "42_ArrowText_2": "Wählen Sie das hemisphärische \nModell der weißen Substanz aus und \naktivieren Sie die Option „Clipping“", + "43_TextBox_0": "Verschieben Sie den koronalen Schnitt \nnach posterior, um das \nChiasma opticum darzustellen", + "44_TextBox_0": "Slicer zeigt eine 3D-Ansicht \ndes Chiasma opticum an", + "45_TextBox_0": "Fazit", + "45_TextBox_1": "• 3D Slicer bietet erweiterte Funktionen zum Laden und Anzeigen medizinischer 3D-Bilddaten\n\n• Das Tutorial zeigt, wie man Volumenrendering und 3D-Oberflächenmodellierung zur interaktiven Visualisierung von CT- und MRT-Daten einsetzt\n\n\nKontakt: spujol@bwh.harvard.edu", + "46_TextBox_0": "Danksagungen", + "46_TextBox_1": "Zentrum für Neurobildanalyse (NIBIB P41 EB015902)" } \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_hu.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_hu.json index 180fee4b..073828c2 100644 --- a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_hu.json +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_hu.json @@ -1,99 +1,99 @@ { - "0_TextBox_0": "Basics of Data Loading and 3D Visualization in 3D Slicer", - "0_TextBox_1": "Author: Sonia Pujol, Ph.D.", + "0_TextBox_0": "Az adatbetöltés és a 3D vizualizáció alapjai a 3D Slicerben", + "0_TextBox_1": "Szerző: Sonia Pujol, Ph.D.", "0_TextBox_2": "24/11/2024", - "0_TextBox_3": "Assistant Professor of Radiology Brigham and Women’s Hospital Harvard Medical School", - "1_TextBox_0": "Overall Goal", - "1_TextBox_1": "This tutorial is an introduction to the basics of loading and viewing DICOM images and 3D models in 3D Slicer.", - "2_TextBox_0": "Learning Objectives", - "2_TextBox_1": " • Following this tutorial, you will be able\n\n• to load and visualize DICOM images in Slicer\n\n• to perform volume rendering of CT data\n\n• to load and visualize 3D models reconstructed from MRI data", - "3_TextBox_0": "Tutorial materials", - "3_TextBox_1": "• 3D Slicer version 5.10\n\n• 3D VisualizationDataSet.zip", - "4_TextBox_0": "Tutorial dataset", - "33_TextBox_0": "Tutorial dataset", - "4_TextBox_1": "The file 3DVisualizationDataset.zip contains two directories:\n\n- dataset1_Thorax_Abdomen\n- dataset2_Head\n\nUnzip the file 3DVisualizationDataset.zip on your computer to access the datasets", - "5_TextBox_0": "Disclaimer", - "5_TextBox_1": "• 3D Slicer is a free open source software application distributed under a BSD style license.\n\n\n• The software is not FDA approved or CE-Marked, and is for research use only.\n", - "6_TextBox_0": "Tutorial Outline", - "6_TextBox_1": "• Part 1: Loading and Viewing DICOM data\n\n• Part 2: Volume Rendering\n\n\n• Part 3: Loading and Viewing 3D models", - "7_TextBox_0": "Part 1: DICOM Data Loading", - "8_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "9_LoadingaDICOMvolume_title": "Loading a DICOM volume", - "8_TextBox_0": "Slicer displays the user interface of the DICOM module", - "8_TextBox_1": "The patient1 study contains a CT Thorax Abdomen dataset", - "9_ArrowText_1": "Select patient1 and click on Load\nto load the dataset in Slicer", - "10_VisualizingDICOMimages_title": "Visualizing DICOM images", - "11_VisualizingDICOMimages_title": "Visualizing DICOM images", - "12_VisualizingDICOMimages_title": "Visualizing DICOM images", - "13_VisualizingDICOMimages_title": "Visualizing DICOM images", - "14_VisualizingDICOMimages_title": "Visualizing DICOM images", - "15_VisualizingDICOMimages_title": "Visualizing DICOM images", - "16_VisualizingDICOMimages_title": "Visualizing DICOM images", - "17_VisualizingDICOMimages_title": "Visualizing DICOM images", - "18_VisualizingDICOMimages_title": "Visualizing DICOM images", - "10_TextBox_0": "Slicer displays the axial, coronal\nand sagittal images of the CT\nThorax Abdomen dataset ", - "11_ArrowText_1": "Left click on DICOM to display\nthe list of modules of Slicer", - "11_ArrowText_2": "Select the module\nVolumes", - "12_ArrowText_0": "Click on the CT-abdomen\npreset to automatically adjust\nthe window/level display of the\nCT dataset", - "13_TextBox_1": "Position the mouse cursor\nover the red banner in the\nRed Viewer to display the slice\nmenu.\n\n\nClick on the Links icon to link\nthe slice controls across all\nSlice Viewers.\n\n\nClick on the Eye icon to\ndisplay the three anatomical\nslices in the 3D Viewer", - "14_TextBox_0": "The three anatomical slices\nappear in the 3D viewer.", - "15_ArrowText_0": "Click on the Slicer layout menu\nicon, and select the\nConventional Widescreen layout", - "16_TextBox_0": "Slicer switches the layout\nto Conventional\nWidescreen layout", - "17_TextBox_0": "Use the right mouse button in the\n3D Viewer to zoom in and out", - "18_TextBox_0": "Use the left mouse button in the\n3D Viewer to rotate the images", - "19_3DViewerController_title": "3D Viewer Controller", - "20_3DViewerController_title": "3D Viewer Controller", - "19_TextBox_1": "Position the mouse cursor over\nthe pin icon in the blue banner\nof the 3D viewer window to\ndisplay the 3DView controller\n\nClick on the second icon on the\ntop row of the 3DView\ncontroller to center the 3D view\non the scene", - "20_ArrowText_1": "Select the Volume Rendering\nmodule in the list of modules ", - "21_TextBox_0": "Part 2: Volume Rendering", - "22_TextBox_0": "Volume Rendering", - "23_VolumeRendering_title": "Volume Rendering", - "24_VolumeRendering_title": "Volume Rendering", - "25_VolumeRendering_title": "Volume Rendering", - "26_VolumeRendering_title": "Volume Rendering", - "27_VolumeRendering_title": "Volume Rendering", - "28_VolumeRendering_title": "Volume Rendering", - "29_VolumeRendering_title": "Volume Rendering", - "30_VolumeRendering_title": "Volume Rendering", - "31_VolumeRendering_title": "Volume Rendering", - "22_TextBox_1": "• Volume rendering\ntechniques enable 3D\nvisualization of 3D\ndatasets\n\n• The Volume Rendering\nmodule in Slicer enables\ninteractive 3D visualization\nof DICOM images", - "23_ArrowText_0": "Click on Preset in the Display tab\nand select the preset CT-Cardiac3 ", - "24_TextBox_2": "Select VTK GPU Ray Casting Rendering\nClick on the eye icon in the Volume tab to display\nthe volume rendered image in the 3D viewer", - "25_ArrowText_0": "Use the shift slider to\nchange the transfer\nfunction and display the\naorta", - "26_ArrowText_0": "Click on Display ROI to\ndisplay a region of interest\n(ROI) in the 3D viewer and\ncheck the option Enable", - "27_TextBox_0": "Turn off the visibility of the\naxial, sagittal and coronal\nslices in the 2D viewer\n\n\nPosition the ROI around the\nleft kidney using the color\nhandles", - "28_ArrowText_0": "Click on the eye icon to\ndisplay the volume rendered\nimage", - "29_TextBox_0": "Slicer displays the\nvolume rendered\nimage of the left kidney ", - "30_TextBox_0": "Extend the ROI to generate\na volume rendered image of\nthe right kidney", - "31_ArrowText_1": "Click on File, then Close Scene\nin the main menu", - "32_TextBox_0": "Part 3: Loading and\nviewing 3D models\n", - "33_TextBox_1": "• The directory dataset2_Head contains the Slicer scene called Head_scene.mrb\n\n• The scene contains 3D models from the SPL brain atlas developed by the department of Radiology at Brigham and Women’s Hospital, Harvard Medical School (NIH P41 RR013218, NIH R01 MH05074)", - "34_TextBox_0": "Slicer Scene", - "34_TextBox_1": "Slicer stores all loaded data in a repository called a scene\n\n\nEach data set, such as an image volume, surface model, or point set, is represented as a node in a Slicer scene.\n\n\nAll Slicer modules operate on the data stored in a Slicer scene.", - "35_LoadingaScene_title": "Loading a Scene", - "35_TextBox_0": "Slicer displays a 3D\nsurface model of the\nhead and 2D MRI slices", - "36_Viewing3Dmodels_title": "Viewing 3D models", - "37_Viewing3Dmodels_title": "Viewing 3D models", - "38_Viewing3Dmodels_title": "Viewing 3D models", - "39_Viewing3Dmodels_title": "Viewing 3D models", - "40_Viewing3Dmodels_title": "Viewing 3D models", - "36_ArrowText_0": "Position the cursor over\nthe pin icon to reveal the\nslice menu and click on\nthe eye icon to display the\naxial slice in the 3D viewer", - "37_ArrowText_1": "Select the Models module\nin the list of models", - "38_ArrowText_0": "Slicer displays the list of\n3D models loaded in the\nscene\n\nSelect the model Skin.vtk", - "39_ArrowText_0": "Lower the opacity of\nthe Skin model using\nthe visibility slider", - "39_TextBox_1": "The skull bone and\neyeballs models appear\nthrough the skin", - "40_ArrowText_1": "Select the skull bone\nmodel and click on the\neye icon to turn off its\nvisibility", - "40_TextBox_2": "The white matter and\noptic nerve models\nappear through the skin", - "41_Interactingwith3Dmodels_title": "Interacting with 3D models", - "42_Interactingwith3Dmodels_title": "Interacting with 3D models", - "43_Interactingwith3Dmodels_title": "Interacting with 3D models", - "44_Interactingwith3Dmodels_title": "Interacting with 3D models", - "41_ArrowText_0": "Click on the eye icon to\ndisplay the coronal slice\nin the 3D viewer", - "42_ArrowText_2": "Select the hemispheric\nwhite matter model and\nselect the option Clipping", - "43_TextBox_0": "Move the coronal slice\nposteriorily to display the\noptic chiasm", - "44_TextBox_0": "Slicer displays a 3D view of\nthe optic chiasm", - "45_TextBox_0": "Conclusion", - "45_TextBox_1": "• 3D Slicer provides advanced functionalities for loading and viewing 3D medical imaging data\n\n• The tutorial demonstrates how to use volume rendering and 3D surface modeling for interactive visualization of CT and MRI data\n\n\nContact: spujol@bwh.harvard.edu", - "46_TextBox_0": "Acknowledgements", + "0_TextBox_3": "Radiológiai adjunktus, Brigham and Women’s Hospital, Harvard Medical School", + "1_TextBox_0": "Általános cél", + "1_TextBox_1": "Ez az oktatóanyag bevezetés a DICOM képek és 3D modellek betöltésének és megtekintésének alapjaiba a 3D Slicerben.", + "2_TextBox_0": "Tanulási célkitűzések", + "2_TextBox_1": " • Az oktatóanyag elvégzése után képes lesz\n\n• DICOM képeket betölteni és megjeleníteni a Slicerben\n\n• CT adatok térfogat-megjelenítését elvégezni\n\n• MRI adatokból rekonstruált 3D modelleket betölteni és megjeleníteni", + "3_TextBox_0": "Az oktatóanyag segédanyagai", + "3_TextBox_1": "• 3D Slicer 5.10-es verzió\n\n• 3D VisualizationDataSet.zip", + "4_TextBox_0": "Oktatóanyag adatkészlet", + "33_TextBox_0": "Oktatóanyag adatkészlet", + "4_TextBox_1": "A 3DVisualizationDataset.zip fájl két könyvtárat tartalmaz:\n\n- dataset1_Thorax_Abdomen\n- dataset2_Head\n\nCsomagolja ki a 3DVisualizationDataset.zip fájlt a számítógépén az adatkészletek eléréséhez", + "5_TextBox_0": "Jogi nyilatkozat", + "5_TextBox_1": "• A 3D Slicer egy ingyenes, nyílt forráskódú szoftveralkalmazás, amelyet BSD típusú licenc alatt terjesztenek.\n\n\n• A szoftvert az FDA nem hagyta jóvá és nem rendelkezik CE jelöléssel, kizárólag kutatási célokra használható.\n", + "6_TextBox_0": "Az oktatóanyag áttekintése", + "6_TextBox_1": "• 1. rész: DICOM adatok betöltése és megtekintése\n\n• 2. rész: Térfogat-megjelenítés\n\n\n• 3. rész: 3D modellek betöltése és megtekintése", + "7_TextBox_0": "1. rész: DICOM adatok betöltése", + "8_LoadingaDICOMvolume_title": "DICOM kötet betöltése", + "9_LoadingaDICOMvolume_title": "DICOM kötet betöltése", + "8_TextBox_0": "A Slicer megjeleníti a DICOM modul felhasználói felületét", + "8_TextBox_1": "A patient1 vizsgálat egy CT mellkas-has adatkészletet tartalmaz", + "9_ArrowText_1": "Válassza ki a patient1 bejegyzést, majd kattintson a Betöltés gombra\naz adatkészlet Slicerbe való betöltéséhez", + "10_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "11_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "12_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "13_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "14_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "15_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "16_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "17_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "18_VisualizingDICOMimages_title": "DICOM képek megjelenítése", + "10_TextBox_0": "A Slicer megjeleníti a CT mellkas-has adatkészlet\naxiális, koronális és szagittális képeit", + "11_ArrowText_1": "Kattintson bal gombbal a DICOM-ra\na Slicer moduljainak listájának megjelenítéséhez", + "11_ArrowText_2": "Válassza ki a Volumes\nmodult", + "12_ArrowText_0": "Kattintson a CT-abdomen\nelőbeállításra a CT adatkészlet\nablak/szint megjelenítésének\nautomatikus beállításához", + "13_TextBox_1": "Vigye az egérkurzort a piros sáv fölé\na Red Viewer ablakban a szelet\nmenü megjelenítéséhez.\n\n\nKattintson a Lánc ikonra a szeletvezérlők\nösszekapcsolásához az összes\nSzelet-nézetben.\n\n\nKattintson a Szem ikonra a három\nanatómiai szelet megjelenítéséhez\na 3D nézetben", + "14_TextBox_0": "A három anatómiai szelet\nmegjelenik a 3D nézetben.", + "15_ArrowText_0": "Kattintson a Slicer elrendezés menü\nikonjára, és válassza a\nConventional Widescreen elrendezést", + "16_TextBox_0": "A Slicer átvált a Conventional\nWidescreen\nelrendezésre", + "17_TextBox_0": "Használja a jobb egérgombot a\n3D nézetben a nagyításhoz és kicsinyítéshez", + "18_TextBox_0": "Használja a bal egérgombot a\n3D nézetben a képek forgatásához", + "19_3DViewerController_title": "3D nézet vezérlő", + "20_3DViewerController_title": "3D nézet vezérlő", + "19_TextBox_1": "Vigye az egérkurzort a gombostű ikon fölé\na 3D nézet ablak kék sávjában\na 3D nézet vezérlő megjelenítéséhez\n\nKattintson a 3D nézet vezérlő\nfelső sorának második ikonjára\na 3D nézet középre igazításához\na jelenetre", + "20_ArrowText_1": "Válassza a Térfogat-megjelenítés\nmodult a modulok listájából", + "21_TextBox_0": "2. rész: Térfogat-megjelenítés", + "22_TextBox_0": "Térfogat-megjelenítés", + "23_VolumeRendering_title": "Térfogat-megjelenítés", + "24_VolumeRendering_title": "Térfogat-megjelenítés", + "25_VolumeRendering_title": "Térfogat-megjelenítés", + "26_VolumeRendering_title": "Térfogat-megjelenítés", + "27_VolumeRendering_title": "Térfogat-megjelenítés", + "28_VolumeRendering_title": "Térfogat-megjelenítés", + "29_VolumeRendering_title": "Térfogat-megjelenítés", + "30_VolumeRendering_title": "Térfogat-megjelenítés", + "31_VolumeRendering_title": "Térfogat-megjelenítés", + "22_TextBox_1": "• A térfogat-megjelenítési\ntechnikák lehetővé teszik a 3D\nadatkészletek 3D\nvizualizációját\n\n• A Slicer Térfogat-megjelenítés\nmodulja lehetővé teszi a DICOM\nképek interaktív 3D\nvizualizációját", + "23_ArrowText_0": "Kattintson az Előbeállítás gombra a Megjelenítés lapon\nés válassza a CT-Cardiac3 előbeállítást", + "24_TextBox_2": "Válassza a VTK GPU Ray Casting Rendering lehetőséget\nKattintson a szem ikonra a Kötet lapon\na térfogat-megjelenítés megjelenítéséhez a 3D nézetben", + "25_ArrowText_0": "Használja a tolóka csúszkát\naz átviteli függvény\nmegváltoztatásához és az\naorta megjelenítéséhez", + "26_ArrowText_0": "Kattintson a ROI megjelenítése gombra\negy érdeklődési terület (ROI)\nmegjelenítéséhez a 3D nézetben, és\njelölje be az Engedélyezés opciót", + "27_TextBox_0": "Kapcsolja ki az axiális, szagittális és\nkoronális szeletek láthatóságát\na 2D nézetben\n\n\nHelyezze a ROI-t a bal vese köré\na színes fogantyúk segítségével", + "28_ArrowText_0": "Kattintson a szem ikonra\na térfogat-megjelenítés\nmegjelenítéséhez", + "29_TextBox_0": "A Slicer megjeleníti\na bal vese\ntérfogat-megjelenítési képét", + "30_TextBox_0": "Bővítse a ROI-t a jobb vese\ntérfogat-megjelenítési képének\nlétrehozásához", + "31_ArrowText_1": "Kattintson a Fájl, majd a Jelenet bezárása\nlehetőségre a főmenüben", + "32_TextBox_0": "3. rész: 3D modellek\nbetöltése és megtekintése\n", + "33_TextBox_1": "• A dataset2_Head könyvtár a Head_scene.mrb nevű Slicer jelenetet tartalmazza\n\n• A jelenet 3D modelleket tartalmaz az SPL agyi atlaszból, amelyet a Brigham and Women’s Hospital, Harvard Medical School Radiológiai osztálya fejlesztett (NIH P41 RR013218, NIH R01 MH05074)", + "34_TextBox_0": "Slicer jelenet", + "34_TextBox_1": "A Slicer az összes betöltött adatot egy jelenet nevű adattárban tárolja\n\n\nMinden adatkészlet, például képkötet, felszíni modell vagy ponthalmaz, csomópontként jelenik meg a Slicer jelenetben.\n\n\nAz összes Slicer modul a Slicer jelenetben tárolt adatokon dolgozik.", + "35_LoadingaScene_title": "Jelenet betöltése", + "35_TextBox_0": "A Slicer megjeleníti a fej\n3D felszíni modelljét\nés 2D MRI szeleteket", + "36_Viewing3Dmodels_title": "3D modellek megtekintése", + "37_Viewing3Dmodels_title": "3D modellek megtekintése", + "38_Viewing3Dmodels_title": "3D modellek megtekintése", + "39_Viewing3Dmodels_title": "3D modellek megtekintése", + "40_Viewing3Dmodels_title": "3D modellek megtekintése", + "36_ArrowText_0": "Vigye a kurzort a gombostű ikon fölé\na szelet menü megjelenítéséhez, és\nkattintson a szem ikonra az\naxiális szelet megjelenítéséhez\na 3D nézetben", + "37_ArrowText_1": "Válassza a Modellek modult\na modellek listájában", + "38_ArrowText_0": "A Slicer megjeleníti a jelenetbe\nbetöltött 3D modellek listáját\n\nVálassza ki a Skin.vtk modellt", + "39_ArrowText_0": "Csökkentse a Skin modell\nátlátszatlanságát\na láthatósági csúszkával", + "39_TextBox_1": "A koponyacsont és\na szemgolyó modellek\nátlátszanak a bőrön", + "40_ArrowText_1": "Válassza ki a koponyacsont\nmodellt, és kattintson a\nszem ikonra a láthatóság\nkikapcsolásához", + "40_TextBox_2": "A fehérállomány és\na látóideg modellek\nátlátszanak a bőrön", + "41_Interactingwith3Dmodels_title": "Interakció 3D modellekkel", + "42_Interactingwith3Dmodels_title": "Interakció 3D modellekkel", + "43_Interactingwith3Dmodels_title": "Interakció 3D modellekkel", + "44_Interactingwith3Dmodels_title": "Interakció 3D modellekkel", + "41_ArrowText_0": "Kattintson a szem ikonra\na koronális szelet\nmegjelenítéséhez a 3D nézetben", + "42_ArrowText_2": "Válassza ki a féltekei\nfehérállomány modellt, és\nválassza a Kivágás opciót", + "43_TextBox_0": "Mozgassa a koronális szeletet\nhátrafele a\nchiasma opticum megjelenítéséhez", + "44_TextBox_0": "A Slicer megjeleníti a\nchiasma opticum 3D nézetét", + "45_TextBox_0": "Összefoglalás", + "45_TextBox_1": "• A 3D Slicer fejlett funkciókat biztosít a 3D orvosi képalkotó adatok betöltéséhez és megtekintéséhez\n\n• Az oktatóanyag bemutatja, hogyan kell a térfogat-megjelenítést és a 3D felszíni modellezést alkalmazni a CT és MRI adatok interaktív vizualizációjához\n\n\nKapcsolat: spujol@bwh.harvard.edu", + "46_TextBox_0": "Köszönetnyilvánítás", "46_TextBox_1": "Neuroimage Analysis Center (NIBIB P41 EB015902)" } \ No newline at end of file diff --git a/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_zh_Hans.json b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_zh_Hans.json new file mode 100644 index 00000000..90af0590 --- /dev/null +++ b/Tutorials/STC-VIS-101_VisualizationTutorial/Translations/text_dict_zh_Hans.json @@ -0,0 +1,99 @@ +{ + "0_TextBox_0": "3D Slicer 中数据加载与 3D 可视化的基础知识", + "0_TextBox_1": "作者：索尼娅·普霍尔 博士", + "0_TextBox_2": "2024年11月24日", + "0_TextBox_3": "哈佛医学院布里格姆妇女医院放射科助理教授", + "1_TextBox_0": "总体目标", + "1_TextBox_1": "本教程介绍了在 3D Slicer 中加载和查看 DICOM 图像及 3D 模型的基础知识。", + "2_TextBox_0": "学习目标", + "2_TextBox_1": " • 按照本教程操作，您将能够\n\n• 在 Slicer 中加载并显示 DICOM 图像\n\n• 对 CT 数据进行体积渲染\n\n• 加载并显示由 MRI 数据重建的 3D 模型", + "3_TextBox_0": "教程资料", + "3_TextBox_1": "• 3D Slicer 5.10 版\n\n• 3D VisualizationDataSet.zip", + "4_TextBox_0": "数据集教程", + "33_TextBox_0": "数据集教程", + "4_TextBox_1": "文件 3DVisualizationDataset.zip 包含两个目录：\n\n- dataset1_Thorax_Abdomen \n- dataset2_Head\n\n请在您的计算机上解压文件 3DVisualizationDataset.zip 以访问这些数据集", + "5_TextBox_0": "免责声明", + "5_TextBox_1": "• 3D Slicer 是一款基于 BSD 风格许可证发布的免费开源软件。\n\n\n• 该软件未获得 FDA 批准，也未获得 CE 认证，仅供研究使用。\n", + "6_TextBox_0": "教程大纲", + "6_TextBox_1": "• 第 1 部分：加载和查看 DICOM 数据\n\n• 第 2 部分：体积渲染\n\n\n• 第 3 部分：加载和查看 3D 模型", + "7_TextBox_0": "第 1 部分：DICOM 数据加载", + "8_LoadingaDICOMvolume_title": "加载 DICOM 体积数据", + "9_LoadingaDICOMvolume_title": "加载 DICOM 体积数据", + "8_TextBox_0": "Slicer 显示了 DICOM 模块的用户界面", + "8_TextBox_1": "患者1的研究包含一个胸部和腹部CT数据集", + "9_ArrowText_1": "选择“patient1”，然后点击“加载”\n将数据集加载到 Slicer 中", + "10_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "11_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "12_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "13_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "14_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "15_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "16_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "17_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "18_VisualizingDICOMimages_title": "DICOM 图像的可视化", + "10_TextBox_0": "Slicer 显示了 CT \n胸腹部数据集的轴位、冠状位\n和矢状位图像", + "11_ArrowText_1": "左键单击“DICOM”以显示\nSlicer 的模块列表", + "11_ArrowText_2": "选择模块\n卷", + "12_ArrowText_0": "点击“腹部CT”\n预设，以自动调整\n该CT数据集的\n窗宽/窗位显示", + "13_TextBox_1": "将鼠标光标\n悬停在“红色查看器”中的\n红色横幅上，以显示切片\n菜单。\n\n\n点击“链接”图标，将\n所有“切片查看器”中的\n切片控件相互关联。\n\n\n点击“眼睛”图标，\n在3D查看器中显示三个\n解剖切片", + "14_TextBox_0": "这三个解剖切面\n出现在3D查看器中。", + "15_ArrowText_0": "点击“切片器布局”菜单\n图标，然后选择\n“常规宽屏”布局", + "16_TextBox_0": "Slicer 将布局切换为\n常规\n宽屏布局", + "17_TextBox_0": "在\n3D 查看器中使用鼠标右键进行放大或缩小", + "18_TextBox_0": "在\n3D 查看器中使用鼠标左键旋转图像", + "19_3DViewerController_title": "3D 查看器控制器", + "20_3DViewerController_title": "3D 查看器控制器", + "19_TextBox_1": "将鼠标光标悬停在\n3D 查看器窗口蓝色横幅中的\n图钉图标上，以\n显示 3DView 控制器\n\n点击 3DView 控制器\n顶部一排中的第二个图标，\n将 3D 视图\n居中对准场景", + "20_ArrowText_1": "在模块列表中选择“体积渲染”\n模块", + "21_TextBox_0": "第2部分：体积渲染", + "22_TextBox_0": "体积渲染", + "23_VolumeRendering_title": "体积渲染", + "24_VolumeRendering_title": "体积渲染", + "25_VolumeRendering_title": "体积渲染", + "26_VolumeRendering_title": "体积渲染", + "27_VolumeRendering_title": "体积渲染", + "28_VolumeRendering_title": "体积渲染", + "29_VolumeRendering_title": "体积渲染", + "30_VolumeRendering_title": "体积渲染", + "31_VolumeRendering_title": "体积渲染", + "22_TextBox_1": "• 体积渲染\n技术可实现对三维\n数据集的\n三维可视化\n\n• Slicer 中的体积渲染\n模块支持\n对 DICOM 图像进行\n交互式三维可视化", + "23_ArrowText_0": "在“显示”选项卡中点击“预设”\n并选择预设“CT-Cardiac3”", + "24_TextBox_2": "选择 VTK GPU 光线投射渲染\n点击“体积”选项卡中的眼睛图标，以在 3D 查看器中显示\n体积渲染图像", + "25_ArrowText_0": "使用平移滑块来\n改变传输\n函数并显示\n主动脉", + "26_ArrowText_0": "点击“显示ROI”以\n在3D查看器中显示\n感兴趣区域\n(ROI)，并\n勾选“启用”选项", + "27_TextBox_0": "在 2D 查看器中关闭 \n轴向、矢状和冠状 \n切面的显示 \n\n\n使用颜色 \n控制柄将 ROI 定位在 \n左肾周围", + "28_ArrowText_0": "点击眼睛图标以\n显示体积渲染\n图像", + "29_TextBox_0": "Slicer 显示了\n左肾的\n体积渲染\n图像", + "30_TextBox_0": "将ROI范围扩展，以生成\n右肾的\n体积渲染图像", + "31_ArrowText_1": "在主菜单中，点击“文件”，然后点击“关闭场景”", + "32_TextBox_0": "第3部分：加载和\n查看3D模型\n", + "33_TextBox_1": "• 目录 dataset2_Head 中包含一个名为 Head_scene.mrb 的 Slicer 场景\n\n• 该场景包含由哈佛医学院布里格姆妇女医院放射科开发的 SPL 大脑图谱中的 3D 模型（NIH P41 RR013218，NIH R01 MH05074）", + "34_TextBox_0": "切片场景", + "34_TextBox_1": "Slicer 将所有加载的数据存储在一个称为“场景”的存储库中\n\n\n每个数据集（例如图像体积、曲面模型或点集）在 Slicer 场景中都以节点的形式表示。\n\n\n所有 Slicer 模块都是基于存储在 Slicer 场景中的数据进行操作的。", + "35_LoadingaScene_title": "加载场景", + "35_TextBox_0": "Slicer 显示了\n头部的 3D\n表面模型和 2D MRI 切片", + "36_Viewing3Dmodels_title": "查看3D模型", + "37_Viewing3Dmodels_title": "查看3D模型", + "38_Viewing3Dmodels_title": "查看3D模型", + "39_Viewing3Dmodels_title": "查看3D模型", + "40_Viewing3Dmodels_title": "查看3D模型", + "36_ArrowText_0": "将光标悬停在\n图钉图标上以显示\n切片菜单，然后点击\n眼睛图标，在3D查看器中显示\n轴向切片", + "37_ArrowText_1": "在模型列表中\n选择“模型”模块", + "38_ArrowText_0": "Slicer 显示了\n场景中\n加载的\n3D 模型列表\n\n选择模型 Skin.vtk", + "39_ArrowText_0": "使用\n可见性滑块\n降低\n皮肤模型的不透明度", + "39_TextBox_1": "颅骨和\n眼球模型透过\n皮肤显现出来", + "40_ArrowText_1": "选中颅骨\n模型，然后点击\n眼睛图标以关闭其\n可见性", + "40_TextBox_2": "白质和\n视神经模型\n透过皮肤显现出来", + "41_Interactingwith3Dmodels_title": "与3D模型进行交互", + "42_Interactingwith3Dmodels_title": "与3D模型进行交互", + "43_Interactingwith3Dmodels_title": "与3D模型进行交互", + "44_Interactingwith3Dmodels_title": "与3D模型进行交互", + "41_ArrowText_0": "点击眼睛图标，\n在3D查看器中\n显示冠状切面", + "42_ArrowText_2": "选择半球\n白质模型，并\n选中“裁剪”选项", + "43_TextBox_0": "将冠状切面\n向后移动，以显示\n视神经交叉", + "44_TextBox_0": "Slicer 显示了\n视神经交叉的 3D 视图", + "45_TextBox_0": "结论", + "45_TextBox_1": "• 3D Slicer 提供了用于加载和查看 3D 医学影像数据的高级功能\n\n• 本教程演示了如何利用体积渲染和 3D 表面建模技术，对 CT 和 MRI 数据进行交互式可视化\n\n\n联系方式：spujol@bwh.harvard.edu", + "46_TextBox_0": "致谢", + "46_TextBox_1": "神经影像分析中心（NIBIB P41 EB015902）" +} \ 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