diff --git a/dap/algos/streakfind.py b/dap/algos/streakfind.py
index fd1c373..10971bd 100644
--- a/dap/algos/streakfind.py
+++ b/dap/algos/streakfind.py
@@ -221,18 +221,19 @@ def _calc_streakfinder_analysis(results, snr, mask):
 
 
 def _get_concentric_only_mask(x_center, y_center, crop_roi, streak_lines, threshold=0.33):
-    if x_center is not None and y_center is not None:
-        if crop_roi is not None:
-            x_center -= crop_roi[0]
-            y_center -= crop_roi[2]
-        centers = np.mean(streak_lines.reshape(-1, 2, 2), axis=1)
-        norm = np.stack([streak_lines[:, 3] - streak_lines[:, 1],
-                         streak_lines[:, 0] - streak_lines[:, 2]], axis=-1)
-        r = centers - np.asarray([x_center, y_center])
-        prod = np.sum(norm * r, axis=-1)[..., None]
-        proj = r - prod * norm / np.sum(norm ** 2, axis=-1)[..., None]
-        streaks_mask = np.sqrt(np.sum(proj ** 2, axis=-1)) / np.sqrt(np.sum(r ** 2, axis=-1)) < threshold
-        return streaks_mask
+    if x_center is None or y_center is None:
+        return None
+    if crop_roi is not None:
+        x_center -= crop_roi[0]
+        y_center -= crop_roi[2]
+    centers = np.mean(streak_lines.reshape(-1, 2, 2), axis=1)
+    norm = np.stack([streak_lines[:, 3] - streak_lines[:, 1],
+                     streak_lines[:, 0] - streak_lines[:, 2]], axis=-1)
+    r = centers - np.asarray([x_center, y_center])
+    prod = np.sum(norm * r, axis=-1)[..., None]
+    proj = r - prod * norm / np.sum(norm ** 2, axis=-1)[..., None]
+    streaks_mask = np.sqrt(np.sum(proj ** 2, axis=-1)) / np.sqrt(np.sum(r ** 2, axis=-1)) < threshold
+    return streaks_mask