Too many changes :(

helpers/images.py

@@ -2,6 +2,7 @@ import base64
 from collections import defaultdict
 import hashlib
 import mimetypes
+from pydicom.uid import ExplicitVRLittleEndian
 
 from io import BytesIO
 
@@ -19,6 +20,7 @@ try:
     from .pydicom_PIL import get_PIL_image
 except:
     from pydicom_PIL import get_PIL_image
+import numpy as np
 
 def image_as_base64(image_file):
     """
@@ -284,3 +286,42 @@ def compare_dicom_datasets(*datasets: pydicom.Dataset):
     return differences
 
 
+def combine_dicom_images_side_by_side(dicom_path1, dicom_path2):
+    """
+    Combines two DICOM images side by side, using the metadata from the first image.
+    If the heights differ, pads the shorter image with zeros at the bottom.
+    Returns a new pydicom.Dataset with the combined image.
+    """
+    ds1 = pydicom.dcmread(dicom_path1)
+    ds2 = pydicom.dcmread(dicom_path2)
+
+    arr1 = ds1.pixel_array
+    arr2 = ds2.pixel_array
+
+    h1, w1 = arr1.shape[:2]
+    h2, w2 = arr2.shape[:2]
+
+    # Pad arrays if heights differ
+    if h1 != h2:
+        max_h = max(h1, h2)
+        def pad(arr, target_h):
+            pad_height = target_h - arr.shape[0]
+            if pad_height > 0:
+                pad_shape = ((0, pad_height), (0, 0)) if arr.ndim == 2 else ((0, pad_height), (0, 0), (0, 0))
+                arr = np.pad(arr, pad_shape, mode='constant', constant_values=0)
+            return arr
+        arr1 = pad(arr1, max_h)
+        arr2 = pad(arr2, max_h)
+
+    combined = np.hstack((arr1, arr2))
+
+    ds1.PixelData = combined.tobytes()
+    ds1.Rows, ds1.Columns = combined.shape[:2]
+
+    if hasattr(ds1, 'PhotometricInterpretation'):
+        ds1.PhotometricInterpretation = ds1.PhotometricInterpretation
+
+    # Ensure output is uncompressed
+    ds1.file_meta.TransferSyntaxUID = ExplicitVRLittleEndian
+
+    return ds1