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Fix #8442: pass meta_data to EnsureChannelFirst when track_meta is False #8835

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Fix #8442: pass meta_data to EnsureChannelFirst when track_meta is False #8835

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8e4933d
Fix #8442: pass meta_data to EnsureChannelFirst when track_meta is False
williams145 Apr 18, 2026
e914e8f
Fix #8442: simplify channel-first call and add regression test
williams145 May 1, 2026
045363d
Apply review: restore previous track_meta state in regression test
williams145 May 6, 2026
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2 changes: 1 addition & 1 deletion monai/transforms/io/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -299,7 +299,7 @@ def __call__(self, filename: Sequence[PathLike] | PathLike, reader: ImageReader
img_array, meta_data, self.simple_keys, pattern=self.pattern, sep=self.sep
)
if self.ensure_channel_first:
img = EnsureChannelFirst()(img)
img = EnsureChannelFirst()(img, meta_dict=meta_data)
if self.image_only:
return img
return img, img.meta if isinstance(img, MetaTensor) else meta_data
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13 changes: 12 additions & 1 deletion tests/transforms/test_load_image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

from monai.apps import download_and_extract
from monai.data import NibabelReader, PydicomReader
from monai.data.meta_obj import set_track_meta
from monai.data.meta_obj import get_track_meta, set_track_meta
from monai.data.meta_tensor import MetaTensor
from monai.transforms import LoadImage
from monai.utils import optional_import
Expand Down Expand Up @@ -497,6 +497,17 @@ def test_correct(self, input_param, expected_shape, track_meta):
self.assertNotIsInstance(r, MetaTensor)
self.assertFalse(hasattr(r, "affine"))

def test_track_meta_false_ensure_channel_first(self):
_previous_meta = get_track_meta()
try:
set_track_meta(False)
r = LoadImage(image_only=True, ensure_channel_first=True)(self.test_data)
self.assertTupleEqual(r.shape, (1, 128, 128, 128))
self.assertIsInstance(r, torch.Tensor)
self.assertNotIsInstance(r, MetaTensor)
finally:
set_track_meta(_previous_meta)


if __name__ == "__main__":
unittest.main()
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