Thanks Andras for updating the TotalSegmentator Slicer Extension to the newest TotalSegmentator version!
The problem with many MR images is the much bigger slice thickness compared to CT. This lower data quality results in lower accuracy compared to TotalSegmentator CT. In our training dataset we have many low resolution MR datasets. For these images it is also difficult to create good ground truth annotations. The alternative would be to train only on nice high quality MR images. Then the segmentation accuracy would be better on high res MR images, but the model would not work as robustly on any MR sequence. We decided to prioritise robustness. For many applications this level of accuracy is still fine. For some applications you need higher accuracy. Then some refinement of the initial segmentation is needed.