AttributeError: 'NoneType' object has no attribute '_fixed_uid' & ValueError: No radiological volume for {xy}

[remogg]

First off, thank you very much for providing this tool as an open-source solution.
I am a radiologist and must admit that i have little programming knowledge regarding python. Thats why i am struggeling a bit trying to set this up. I already progressed getting the tool to run (didnt want to start segmenting in the beginning) but with this issue i dont seem to make any progress:

Describe the bug
When running the Reporting tool using direct DICOM import of T1, T2, FLAIR and T1-ce i get an error message (see below Nr 1)
When running it with compressed niftii (even the ones provided as test data) i get a different error message (see below Nr 2)

Computer settings (please complete the following information):

• Operating System : Windows 10
• CPU: Ryzen 5 3600
• GPU: Nvidia RTX 2060

Scanner-Data

• Siemens Espree / Skyra 1.5T/3.0T
• Syngo MR BR19/ VB30C

Error message 1
20/11/2023 15.50 ; root ; INFO ; LOG: Pipeline - Registration from T1w (T0) to T1CE (T0) - Runtime: 43.97487211227417 seconds.
20/11/2023 15.50 ; root ; INFO ; LOG: Pipeline - Registration from T1w (T0) to T1CE (T0) - End (5/15)
20/11/2023 15.50 ; root ; INFO ; LOG: Pipeline - Apply registration from T1w (T0) to T1CE (T0) - Begin (6/15)
20/11/2023 15.50 ; root ; ERROR ; [RegistrationDeployerStep] Step setup failed with: Traceback (most recent call last):
File "raidionicsrads\Pipelines\RegistrationDeployerStep.py", line 52, in setup
AttributeError: 'NoneType' object has no attribute '_fixed_uid'

Error message 2
20/11/2023 16.42 ; root ; ERROR ; [SegmentationStep] setup failed with: Traceback (most recent call last):
File "raidionicsrads\Pipelines\SegmentationStep.py", line 71, in setup
ValueError: No radiological volume for {'timestamp': 0, 'sequence': 'T1-w', 'labels': None, 'space': {'timestamp': 0, 'sequence': 'T1-w'}}.

my assumption
I assume this is an issue with the DICOM headers but i wasnt really able to trace it down to what.

Thank you very much.
LS

[andreped]

Closed due to accidental duplicate of #65.