You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Describe the bug:
Missclassification of series' subvolumes occurs due to the current implementation that splits subvolumes based on b-values. However, in some anonymized datasets, the b-values are stripped from the DICOM metadata, leading to errors in organizing the data. This process needs to be refactored to use acquisition times as the basis for subvolume splitting.
To Reproduce:
Steps to reproduce the behavior:
Use an anonymized dataset where b-values are removed from the DICOM metadata.
Run the subvolume splitting function that relies on b-values.
Observe the missclassification of series' subvolumes.
Expected behavior:
Subvolumes should be correctly split and classified, even in the absence of b-value metadata, based on acquisition times.
Actual Behavior:
Subvolumes are incorrectly split or fail to classify in datasets where b-values are stripped during anonymization.
Screenshots:
N/A
Environment:
OS: Ubuntu
Additional context:
This issue impacts workflows that rely on the correct organization of subvolumes for further processing. Addressing this bug is critical for ensuring compatibility with anonymized datasets.
Logs
N/A
Possible Fix
Refactor the subvolume splitting logic to consider acquisition times as well as b-values. This would ensure robust handling of datasets where b-values are unavailable due to anonymization.
The text was updated successfully, but these errors were encountered:
Describe the bug:
Missclassification of series' subvolumes occurs due to the current implementation that splits subvolumes based on b-values. However, in some anonymized datasets, the b-values are stripped from the DICOM metadata, leading to errors in organizing the data. This process needs to be refactored to use acquisition times as the basis for subvolume splitting.
To Reproduce:
Steps to reproduce the behavior:
Expected behavior:
Subvolumes should be correctly split and classified, even in the absence of b-value metadata, based on acquisition times.
Actual Behavior:
Subvolumes are incorrectly split or fail to classify in datasets where b-values are stripped during anonymization.
Screenshots:
N/A
Environment:
Additional context:
This issue impacts workflows that rely on the correct organization of subvolumes for further processing. Addressing this bug is critical for ensuring compatibility with anonymized datasets.
Logs
N/A
Possible Fix
Refactor the subvolume splitting logic to consider acquisition times as well as b-values. This would ensure robust handling of datasets where b-values are unavailable due to anonymization.
The text was updated successfully, but these errors were encountered: