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requirements.txt

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+gradio>=4.0.0

utils.py

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+"""
+Utility functions for neuroimaging preprocessing and analysis
+"""
+import numpy as np
+from PIL import Image
+
+def normalize_medical_image(image_array: np.ndarray) -> np.ndarray:
+    """
+    Normalize medical image intensities to 0-255 range
+    Handles various bit depths common in medical imaging
+    """
+    img = image_array.astype(np.float32)
+    
+    # Handle different intensity ranges
+    if img.max() > 255:
+        # Likely 12-bit or 16-bit image
+        p1, p99 = np.percentile(img, [1, 99])
+        img = np.clip(img, p1, p99)
+    
+    # Normalize to 0-255
+    img_min, img_max = img.min(), img.max()
+    if img_max > img_min:
+        img = (img - img_min) / (img_max - img_min) * 255
+    
+    return img.astype(np.uint8)
+
+def apply_window_level(image_array: np.ndarray, window: float, level: float) -> np.ndarray:
+    """
+    Apply window/level (contrast/brightness) adjustment
+    Common in CT viewing
+    
+    Args:
+        image_array: Input image
+        window: Window width (contrast)
+        level: Window center (brightness)
+    """
+    img = image_array.astype(np.float32)
+    
+    min_val = level - window / 2
+    max_val = level + window / 2
+    
+    img = np.clip(img, min_val, max_val)
+    img = (img - min_val) / (max_val - min_val) * 255
+    
+    return img.astype(np.uint8)
+
+def enhance_brain_contrast(image: Image.Image) -> Image.Image:
+    """
+    Enhance contrast specifically for brain MRI visualization
+    """
+    img_array = np.array(image)
+    
+    # Convert to grayscale if needed
+    if len(img_array.shape) == 3:
+        gray = np.mean(img_array, axis=2)
+    else:
+        gray = img_array
+    
+    # Apply histogram equalization
+    from PIL import ImageOps
+    enhanced = ImageOps.equalize(Image.fromarray(gray.astype(np.uint8)))
+    
+    # Convert back to RGB
+    enhanced_array = np.array(enhanced)
+    rgb_array = np.stack([enhanced_array] * 3, axis=-1)
+    
+    return Image.fromarray(rgb_array)
+
+# Common neuroimaging structure mappings
+STRUCTURE_ALIASES = {
+    "hippocampus": ["hippocampal formation", "hippocampal", "medial temporal"],
+    "ventricle": ["ventricular system", "lateral ventricle", "CSF space"],
+    "white matter": ["WM", "cerebral white matter", "deep white matter"],
+    "gray matter": ["GM", "cortical gray matter", "cortex"],
+    "tumor": ["mass", "lesion", "neoplasm", "growth"],
+    "thalamus": ["thalamic", "diencephalon"],
+    "basal ganglia": ["striatum", "caudate", "putamen", "globus pallidus"],
+}
+
+def get_structure_aliases(structure: str) -> list:
+    """Get alternative names for a neuroanatomical structure"""
+    structure_lower = structure.lower()
+    
+    for key, aliases in STRUCTURE_ALIASES.items():
+        if structure_lower == key or structure_lower in aliases:
+            return [key] + aliases
+    
+    return [structure]