Kernel hangs in "TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb"

Describe the bug
Kernel hangs after itkwidgets visualization in jupyter notebook
https://github.com/Project-MONAI/tutorials/blob/main/model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb

To Reproduce

1. docker pull projectmonai/monai:latest
2. create a new container
3. run into container
4. pip install 'itkwidgets[notebook]>=1.0a49'

from monai.transforms import LoadImage
root_dir = "/opt/monai/workspace/Data"
data_dir = os.path.join(root_dir, "Task09_Spleen")
train_images = sorted(glob.glob(os.path.join(data_dir, "imagesTr", "*.nii.gz")))
out = LoadImage(ensure_channel_first=True)(train_images[0])
view(image=out)

Expected behavior
Kernal will not hangs after using view.

Screenshots

Additional context

• Look similar to this one:
  https://github.com/InsightSoftwareConsortium/itkwidgets/issues/688
• After install itkwidgets[notebook]>=1.0a49, look like there will be a requirement compatibility issues for pandas, not sure whether it's related the issue.

Collecting pandas>=2.0.0 (from dask-image->ngff-zarr[dask-image]>=0.4.3->itkwidgets>=1.0a49->itkwidgets[notebook]>=1.0a49)
  Downloading pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
cudf 24.2.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.
dask-cuda 24.2.0 requires pandas<1.6.0.dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.
dask-cudf 24.2.0 requires pandas<1.6.0dev0,>=1.3, but you have pandas 2.2.2 which is incompatible.

• After install the itkwidgets and exiting the Jupyter notebook, trying to launch the notebook again leads to a configuration error. It appears that the installation of itkwidgets is causing a disruption in the configuration settings.

Reproduziere den Hänger in model_zoo/TCIA_PROSTATEx_Prostate_MRI_Anatomy_Model.ipynb anhand der aufgeführten Docker-, Jupyter-, LoadImage- und view-Schritte. Vergleiche das mit itkwidgets zusammenhängende Verhalten mit Issue 688 und prüfe, ob die pandas-Konflikte oder der Notebook-Konfigurationsfehler beteiligt sind; als erledigt gilt es, wenn der Notebook-Kernel nach der Visualisierung weiterhin verwendbar ist und ohne den gemeldeten Konfigurationsfehler erneut gestartet werden kann.