diff --git a/src/__init__.py b/src/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/data_objs/image.py b/src/data_objs/image.py
index a94ff4d..04aa22a 100644
--- a/src/data_objs/image.py
+++ b/src/data_objs/image.py
@@ -15,3 +15,11 @@ def __init__(self, scan_path: str):
         self.frame_rate: float # Hz
         self.intensities_for_analysis: np.ndarray # linearized intensity values
         self.extras_dict: dict = {} # dictionary for any extra information inputted by plugins
+
+        # Visualization defaults (Moved from CeusSeg)
+        self.clahe_clip_limit: float = 1.2
+        self.gamma: float = 1.5
+        self.width_scale_axial: float = 1.0
+        self.width_scale_sagittal: float = 1.0
+        self.width_scale_coronal: float = 1.0
+        self.use_philips_ceus: bool = False
diff --git a/src/data_objs/seg.py b/src/data_objs/seg.py
index c491e62..4796cc9 100644
--- a/src/data_objs/seg.py
+++ b/src/data_objs/seg.py
@@ -9,4 +9,3 @@ class CeusSeg:
     def __init__(self):
         self.seg_name: str
         self.seg_mask: np.ndarray
-        self.pixdim: List[float]  # voxel spacing in mm
diff --git a/src/image_preprocessing/__init__.py b/src/image_preprocessing/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/image_preprocessing/functions.py b/src/image_preprocessing/functions.py
new file mode 100644
index 0000000..516de67
--- /dev/null
+++ b/src/image_preprocessing/functions.py
@@ -0,0 +1,2 @@
+from .image_preprocessors.enhance_clahe import enhance_clahe
+from .image_preprocessors.enhance_gamma import enhance_gamma
diff --git a/src/image_preprocessing/image_preprocessors/__init__.py b/src/image_preprocessing/image_preprocessors/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/seg_loading/README.md b/src/seg_loading/README.md
index 17b2066..6970a88 100644
--- a/src/seg_loading/README.md
+++ b/src/seg_loading/README.md
@@ -19,10 +19,9 @@ class CeusSeg:
     def __init__(self):
         self.seg_name: str
         self.seg_mask: np.ndarray
-        self.pixdim: List[float]  # voxel spacing in mm
 ```
 
-The pixel dimensions, segmentation name, and binary mask are all that must be saved in a segmentation parser.
+The segmentation name and binary mask are all that must be saved in a segmentation parser.
 
 ### Plugin Structure
 
diff --git a/src/seg_loading/seg_loaders/load_bolus_mask.py b/src/seg_loading/seg_loaders/load_bolus_mask.py
index c822187..08bd2c7 100644
--- a/src/seg_loading/seg_loaders/load_bolus_mask.py
+++ b/src/seg_loading/seg_loaders/load_bolus_mask.py
@@ -32,7 +32,7 @@ def load_bolus_mask(image_data: UltrasoundImage, seg_path: str, **kwargs) -> Ceu
     
     out = CeusSeg()
     out.seg_mask = bolus_seg
-    out.pixdim = image_data.pixdim
+    
     if seg_path.endswith('.nii.gz'):
         out.seg_name = Path(seg_path).name[:-7]  # Remove '.nii.gz'
     else:
diff --git a/src/seg_loading/seg_loaders/nifti.py b/src/seg_loading/seg_loaders/nifti.py
index 459dd8f..4ab60f6 100644
--- a/src/seg_loading/seg_loaders/nifti.py
+++ b/src/seg_loading/seg_loaders/nifti.py
@@ -19,9 +19,9 @@ def nifti(image_data: UltrasoundImage, seg_path: str, **kwargs) -> CeusSeg:
     out.seg_mask = np.asarray(seg.dataobj, dtype=np.uint8)
 
     if out.seg_mask.ndim == 3: # 2D + time
-        out.pixdim = seg.header.get_zooms()[:2]
+        image_data.pixdim = list(seg.header.get_zooms()[:2])
     elif out.seg_mask.ndim == 4: # 3D + time
-        out.pixdim = seg.header.get_zooms()[:3]
+        image_data.pixdim = list(seg.header.get_zooms()[:3])
     
     if seg_path.endswith('.nii.gz'):
         out.seg_name = Path(seg_path).name[:-7]  # Remove '.nii.gz'
diff --git a/src/time_series_analysis/options.py b/src/time_series_analysis/options.py
index a38df06..bf8e12e 100644
--- a/src/time_series_analysis/options.py
+++ b/src/time_series_analysis/options.py
@@ -59,10 +59,17 @@ def get_analysis_types() -> Tuple[dict, dict]:
                 pass
             
     functions = {}
-    for file in (Path(__file__).parent / "curve_types" / "curve_definitions").iterdir():
-        module = importlib.import_module(f'.curve_types.curve_definitions.{file.stem}', package=__package__)
-        for name, obj in inspect.getmembers(module, inspect.isfunction):
-            if not name.startswith("_") and obj.__module__ == module.__name__:
-                functions[name] = obj
+    curve_defs_path = Path(__file__).parent / "curve_types" / "curve_definitions"
+    if curve_defs_path.exists():
+        for file in curve_defs_path.iterdir():
+            if file.suffix == ".py" and not file.name.startswith("_"):
+                try:
+                    module = importlib.import_module(f'.curve_types.curve_definitions.{file.stem}', package=__package__)
+                    for name, obj in inspect.getmembers(module, inspect.isfunction):
+                        if not name.startswith("_") and obj.__module__ == module.__name__:
+                            functions[name] = obj
+                except Exception as e:
+                    print(f"Error loading curve definition {file.name}: {e}")
+                    pass
 
     return types, functions