Update app.py

app.py

@@ -98,6 +98,7 @@ class DicomAnalyzer:
         except Exception as e:
             print(f"Error loading DICOM file: {str(e)}")
             return None, f"Error loading DICOM file: {str(e)}"
+
     def normalize_image(self, image):
         try:
             normalized = cv2.normalize(
@@ -114,7 +115,6 @@ class DicomAnalyzer:
         except Exception as e:
             print(f"Error normalizing image: {str(e)}")
             return None
-
     def reset_view(self):
         self.zoom_factor = 1.0
         self.pan_x = 0
@@ -419,7 +419,9 @@ class DicomAnalyzer:
             current_row = 32
 
             # Headers for StdDev Averages
-            ws.cell(row=current_row, column=1, value="StdDev Averages").font = red_font
+            stddev_header = ws.cell(row=current_row, column=1, value="StdDev Averages")
+            stddev_header.font = red_font
+            stddev_header.alignment = center_alignment
             current_row += 1
             
             # Calculate StdDev averages for each row pair
@@ -435,32 +437,44 @@ class DicomAnalyzer:
                 
                 if stddev_values:
                     avg = sum(stddev_values) / len(stddev_values)
-                    ws.cell(row=current_row, column=1, value=size)
-                    ws.cell(row=current_row, column=2, value=avg).number_format = '0.000'
+                    size_cell = ws.cell(row=current_row, column=1, value=size)
+                    size_cell.alignment = center_alignment
+                    
+                    avg_cell = ws.cell(row=current_row, column=2, value=avg)
+                    avg_cell.number_format = '0.000'
+                    avg_cell.alignment = center_alignment
                 current_row += 1
 
             current_row += 2  # Space between tables
 
             # Headers for CNR Averages
-            ws.cell(row=current_row, column=1, value="CNR Averages").font = red_font
+            cnr_header = ws.cell(row=current_row, column=1, value="CNR Averages")
+            cnr_header.font = red_font
+            cnr_header.alignment = center_alignment
             current_row += 1
             
             # Calculate CNR averages for each row pair
             for i, size in enumerate(phantom_sizes):
                 row_number = row_pairs[i][1]  # Second row for CNR
-                cnr_values = []
+                cnr_references = []
                 
+                # Get all CNR formula references
                 for cols in column_groups:
                     formula_col = get_column_letter(column_index_from_string(cols[-1]) + 1)
-                    cell_value = ws[f"{formula_col}{row_number}"].value
-                    if isinstance(cell_value, str) and cell_value.startswith('='):
-                        cnr_values.append(f"={formula_col}{row_number}")
+                    cnr_cell = f"{formula_col}{row_number}"
+                    cnr_references.append(cnr_cell)
+                
+                if cnr_references:
+                    # Create AVERAGE formula using cell references
+                    formula = f"=AVERAGE({','.join(cnr_references)})"
+                    size_cell = ws.cell(row=current_row, column=1, value=size)
+                    size_cell.alignment = center_alignment
+                    
+                    avg_cell = ws.cell(row=current_row, column=2)
+                    avg_cell.value = formula
+                    avg_cell.number_format = '0.000'
+                    avg_cell.alignment = center_alignment
                 
-                if cnr_values:
-                    formula = f"=AVERAGE({','.join(cnr_values)})"
-                    ws.cell(row=current_row, column=1, value=size)
-                    cell = ws.cell(row=current_row, column=2, value=formula)
-                    cell.number_format = '0.000'
                 current_row += 1
 
             # Format the tables