KeyError when training with nifti

[Daniloper]

Hi, I try to work with MONAI dynunet and I have no problem when I work with public nifti dataset. But If I want to use my own nifti files to train, I get this error:

KeyError: Caught KeyError in DataLoader worker process 0.
KeyError: 'sizeof_hdr'

Can anyone help me?

[KumoLiu]

Hi @Daniloper, could you please share the whole error messages? Thanks!

[Daniloper]

Hi @KumoLiu

This is the full output:

MONAI version: 1.1.0
Numpy version: 1.24.1
Pytorch version: 1.13.1+cu117
MONAI flags: HAS_EXT = False, USE_COMPILED = False, USE_META_DICT = False
MONAI rev id: a2ec375
MONAI file: /home/nnunet/.local/lib/python3.8/site-packages/monai/init.py

Optional dependencies:
Pytorch Ignite version: 0.4.11
Nibabel version: 5.0.0
scikit-image version: 0.19.3
Pillow version: 9.4.0
Tensorboard version: NOT INSTALLED or UNKNOWN VERSION.
gdown version: NOT INSTALLED or UNKNOWN VERSION.
TorchVision version: 0.14.1+cu117
tqdm version: 4.64.1
lmdb version: NOT INSTALLED or UNKNOWN VERSION.
psutil version: NOT INSTALLED or UNKNOWN VERSION.
pandas version: 1.5.3
einops version: NOT INSTALLED or UNKNOWN VERSION.
transformers version: NOT INSTALLED or UNKNOWN VERSION.
mlflow version: NOT INSTALLED or UNKNOWN VERSION.
pynrrd version: NOT INSTALLED or UNKNOWN VERSION.

For details about installing the optional dependencies, please visit:
https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies

Loading dataset: 100%| 13/13 [00:21<00:00, 1.65s/it]
Loading dataset: 100%| 52/52 [01:12<00:00, 1.39s/it]
2023-03-21 11:50:55,637 - Engine run resuming from iteration 0, epoch 0 until 1000 epochs
2023-03-21 11:52:22,834 - Epoch: 1/1000, Iter: 1/26 -- train_loss: 1.7484
2023-03-21 11:52:22,943 - Epoch: 1/1000, Iter: 2/26 -- train_loss: 1.7560
2023-03-21 11:52:23,098 - Epoch: 1/1000, Iter: 3/26 -- train_loss: 1.5142
2023-03-21 11:52:23,199 - Epoch: 1/1000, Iter: 4/26 -- train_loss: 1.4741
2023-03-21 11:52:23,552 - Epoch: 1/1000, Iter: 5/26 -- train_loss: 1.2249
2023-03-21 11:52:23,654 - Epoch: 1/1000, Iter: 6/26 -- train_loss: 1.2345
2023-03-21 11:52:23,756 - Epoch: 1/1000, Iter: 7/26 -- train_loss: 1.3093
2023-03-21 11:52:23,858 - Epoch: 1/1000, Iter: 8/26 -- train_loss: 1.1255
2023-03-21 11:52:24,002 - Epoch: 1/1000, Iter: 9/26 -- train_loss: 1.0851
2023-03-21 11:52:24,449 - Epoch: 1/1000, Iter: 10/26 -- train_loss: 0.9957
2023-03-21 11:52:24,602 - Epoch: 1/1000, Iter: 11/26 -- train_loss: 0.9250
2023-03-21 11:52:24,744 - Epoch: 1/1000, Iter: 12/26 -- train_loss: 0.9709
2023-03-21 11:52:25,062 - Epoch: 1/1000, Iter: 13/26 -- train_loss: 0.9569
2023-03-21 11:52:25,623 - Epoch: 1/1000, Iter: 14/26 -- train_loss: 0.9026
2023-03-21 11:52:25,725 - Epoch: 1/1000, Iter: 15/26 -- train_loss: 0.9629
2023-03-21 11:52:25,880 - Epoch: 1/1000, Iter: 16/26 -- train_loss: 0.9367
2023-03-21 11:52:26,220 - Epoch: 1/1000, Iter: 17/26 -- train_loss: 0.9612
2023-03-21 11:52:26,860 - Epoch: 1/1000, Iter: 18/26 -- train_loss: 1.0881
2023-03-21 11:52:26,861 - Current run is terminating due to exception: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'

2023-03-21 11:52:26,862 - Exception: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'
Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 1032, in _run_once_on_dataset_as_gen
self.state.batch = next(self._dataloader_iter)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in next
data = self._next_data()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1313, in _next_data
return self._process_data(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
KeyError: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'

2023-03-21 11:52:26,976 - Engine run is terminating due to exception: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'

2023-03-21 11:52:26,976 - Exception: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'
Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 959, in _internal_run_as_gen
epoch_time_taken += yield from self._run_once_on_dataset_as_gen()
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 1087, in _run_once_on_dataset_as_gen
self._handle_exception(e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 636, in _handle_exception
self._fire_event(Events.EXCEPTION_RAISED, e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 425, in _fire_event
func(*first, *(event_args + others), **kwargs)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/handlers/stats_handler.py", line 181, in exception_raised
raise e
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 1032, in _run_once_on_dataset_as_gen
self.state.batch = next(self._dataloader_iter)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in next
data = self._next_data()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1313, in _next_data
return self._process_data(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
KeyError: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'

Traceback (most recent call last):
File "train.py", line 385, in
train(args)
File "train.py", line 221, in train
trainer.run()
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/engines/trainer.py", line 53, in run
super().run()
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/engines/workflow.py", line 281, in run
super().run(data=self.data_loader, max_epochs=self.state.max_epochs)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 892, in run
return self._internal_run()
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 935, in _internal_run
return next(self._internal_run_generator)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 993, in _internal_run_as_gen
self._handle_exception(e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 636, in _handle_exception
self._fire_event(Events.EXCEPTION_RAISED, e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 425, in _fire_event
func(*first, *(event_args + others), **kwargs)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/handlers/stats_handler.py", line 181, in exception_raised
raise e
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 959, in _internal_run_as_gen
epoch_time_taken += yield from self._run_once_on_dataset_as_gen()
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 1087, in _run_once_on_dataset_as_gen
self._handle_exception(e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 636, in _handle_exception
self._fire_event(Events.EXCEPTION_RAISED, e)
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 425, in _fire_event
func(*first, *(event_args + others), **kwargs)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/handlers/stats_handler.py", line 181, in exception_raised
raise e
File "/home/nnunet/.local/lib/python3.8/site-packages/ignite/engine/engine.py", line 1032, in _run_once_on_dataset_as_gen
self.state.batch = next(self._dataloader_iter)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in next
data = self._next_data()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1313, in _next_data
return self._process_data(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
KeyError: Caught KeyError in DataLoader worker process 2.
Original Traceback (most recent call last):
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 61, in fetch
return self.collate_fn(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 470, in list_data_collate
ret = collate_meta_tensor(data)
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in collate_meta_tensor
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 439, in
return {k: collate_meta_tensor([d[k] for d in batch]) for k in elem_0}
File "/home/nnunet/.local/lib/python3.8/site-packages/monai/data/utils.py", line 434, in collate_meta_tensor
collated.meta = default_collate([i.meta or TraceKeys.NONE for i in batch])
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 265, in default_collate
return collate(batch, collate_fn_map=default_collate_fn_map)
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in collate
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
File "/home/nnunet/.local/lib/python3.8/site-packages/torch/utils/data/_utils/collate.py", line 128, in
return elem_type({key: collate([d[key] for d in batch], collate_fn_map=collate_fn_map) for key in elem})
KeyError: 'sizeof_hdr'

[KumoLiu]

Hi @Daniloper, from the error message, seems you have some unexpected keys from the dataset.
Could you please check it before sending it to the dataloader? Something like:

check_ds = Dataset(data=val_files, transform=val_transforms)
check_loader = DataLoader(check_ds, batch_size=1)
check_data = first(check_loader)
print(check_data.keys())

Hope it can help you, thanks!

[zzh980123]

I'm also having the same issue, which seems to be my training data has both ".nii.gz" and ".mha" format files.

[KumoLiu]

Hi @zzh980123, I think itk can handle bothe format, could you please try:

LoadImage(reader="ITKReader")

Hope it can help you, thanks!