diff --git a/monai/auto3dseg/utils.py b/monai/auto3dseg/utils.py
index 61ca58b6fe..8e6e6a9573 100644
--- a/monai/auto3dseg/utils.py
+++ b/monai/auto3dseg/utils.py
@@ -62,7 +62,7 @@ def get_foreground_image(image: MetaTensor) -> np.ndarray:
         the size of the output is smaller than the input.
     """
 
-    copper = CropForeground(select_fn=lambda x: x > 0)
+    copper = CropForeground(select_fn=lambda x: x > 0, allow_smaller=False)
     image_foreground = copper(image)
     return cast(np.ndarray, image_foreground)
 
diff --git a/monai/transforms/utils_create_transform_ims.py b/monai/transforms/utils_create_transform_ims.py
index a98cdfe936..4b5990abd3 100644
--- a/monai/transforms/utils_create_transform_ims.py
+++ b/monai/transforms/utils_create_transform_ims.py
@@ -538,8 +538,8 @@ def create_transform_im(
     )
     create_transform_im(DivisiblePad, dict(k=64), data)
     create_transform_im(DivisiblePadd, dict(keys=keys, k=64), data)
-    create_transform_im(CropForeground, dict(), data)
-    create_transform_im(CropForegroundd, dict(keys=keys, source_key=CommonKeys.IMAGE), data)
+    create_transform_im(CropForeground, dict(allow_smaller=False), data)
+    create_transform_im(CropForegroundd, dict(keys=keys, source_key=CommonKeys.IMAGE, allow_smaller=False), data)
     create_transform_im(RandGaussianNoise, dict(prob=1, mean=0, std=0.1), data)
     create_transform_im(RandGaussianNoised, dict(keys=CommonKeys.IMAGE, prob=1, mean=0, std=0.1), data)
     create_transform_im(KSpaceSpikeNoise, dict(loc=(100, 100, 100), k_intensity=13), data)