Update app.py

app.py

@@ -147,8 +147,8 @@ class DicomAnalyzer:
             # Create mask with larger radius calculation
             Y, X = np.ogrid[:height, :width]
             
-            # Increase effective radius to include boundary pixels
-            radius = (self.circle_diameter / 2.0) + 0.5  # Add 0.5 to include boundary pixels
+            # Increase effective radius to include more boundary pixels
+            radius = (self.circle_diameter / 2.0) + 1.0  # Increased from 0.5 to 1.0
             r_squared = radius * radius
             
             # Calculate distances with more inclusive boundary
@@ -156,8 +156,8 @@ class DicomAnalyzer:
             dy = Y - y
             dist_squared = dx*dx + dy*dy
             
-            # Include slightly more pixels in the mask
-            mask = dist_squared <= (r_squared + 0.25)  # Add small tolerance
+            # Include more pixels in the mask
+            mask = dist_squared <= (r_squared + 0.5)  # Increased tolerance
             
             # Get ROI pixels
             roi_pixels = self.original_image[mask]
@@ -223,7 +223,7 @@ class DicomAnalyzer:
                 zoomed_x = int(x * self.zoom_factor)
                 zoomed_y = int(y * self.zoom_factor)
                 # Use enhanced radius for display
-                zoomed_radius = int(((diameter/2.0 + 0.5) * self.zoom_factor))
+                zoomed_radius = int(((diameter/2.0 + 1.0) * self.zoom_factor))  # Increased from 0.5 to 1.0
                 
                 # Draw main circle
                 cv2.circle(zoomed_bgr,