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innereye-dicom-rt's Issues

Unpinned `dotnetcore2` version causing inference to fail

In setup.py the dotnetcore2 version is not pinned. This means that the incorrect version (i.e. not 2.1.0) may be installed into any environment using this package without complaint, but any calls to this library will subsequently fail.

Timezone information is displayed wrong in Raystation

When viewing segmentation results in RayStation, the displayed time is about 1h off. This could mean either that the time encoded by IE-DicomRT is not correctly localized, or that RayStation is not displaying timezone info correctly.
We should go through the code here and ensure that IE-DicomRT is correctly storing its processing time in UTC.

Inferenced segmentation.dcm cannot be imported to Eclipse

Discussed in microsoft/InnerEye-DeepLearning#687

Originally posted by furtheraway March 5, 2022
Hi all,

I am walking through the model taining and inference with the example lung segamentation dataset https://github.com/microsoft/InnerEye-DeepLearning/blob/main/docs/sample_tasks.md

The model training has succeed on Azure ML.

Then I zip up the DICOM files of the second test subject into a zip file:
C:\Users\xxxx\Downloads\IE_lung_dataset\manifest-1557326747206\LCTSC\LCTSC-Test-S1-102\11-04-2003-NA-RTRCCTTHORAX8FHigh Adult-20444\0.000000-CT114545RespCT 3.0 B30f 50 Ex-81163

zip -r patS1102.zip 0.000000-CT114545RespCT\ \ 3.0\ \ B30f\ \ 50\ Ex-81163/

Then submit it with submit_for_inference.py:

python InnerEye/Scripts/submit_for_inference.py --image_file /home/xxxx/datasets/inference_dicom/patS1102.zip --model_id LungExample:1 --download_folder /home/xxxx/source/2022/download/ --use_dicom true

The inference run finished successfully and I got the segmentation.dcm file. But when I tried to import this segmentation.dcm file to Eclipse, I run into the following error:

image

I can import the original DICOM files for this subject without any issue,

@ant0nsc

AB#5453

Upgrade .netcore and fo-dicom versions

This package is currently running on unsupported versions of .netcore and fo-dicom. These should be upgraded to the latest versions.

There is a nest of problems involved with upgraded the .netcore version as the dotnetcore2 python package seems unhappy with using .netcore 3.1 for some reason!

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