Hello, is there any specific recommendations concerning the modality.
Does TotalSegmentator work well on CT Scans with/without injection, and for MRI, which kind is prefered (T1,T2,STIR,Flair,inPhase) ?
Thanks
TotalSegmentator models were trained on images acquired with a wide variety of imaging protocols, with/without contrast agent, etc. and the models are expected to generalize well enough to work beyond the exact protocols used in the training data. So, in general, the models should work on anything. Probably the best you can do is to try it on all your images to see what gives you the best performance.
That said, it is likely that you get better results on images that are more similar to the training data sets. For example, for MRI:
The dataset contained a wide variety of MRI
examinations, with differences in contrast, section thickness, field strength, pulse sequences (e.g. T1-weighted, T2-weighted, Proton Density), echo time, repetition time, resolution, and contrast agent.
Hi everyone, I’m a beginner and I need some help 
I’m working on a student project where I need to 3D print shoulder muscles based on MRI DICOM images, specifically focusing on the rotator cuff with three common pathologies:
- Tendinopathy of the supraspinatus
- Subacromial bursitis
- Supraspinatus tendon tear
I would like to know:
- Has anyone already printed muscle anatomy from MRI (not CT), particularly using 3D Slicer or TotalSegmentator?
- Can you share any tips, workflows or examples?
- Is it possible to segment those shoulder muscles and export to STL for 3D printing?
I’m quite new to this, so any beginner-friendly explanation or guidance would be very appreciated. Thank you so much in advance!