Hi, Jakob; Congratulations on the Oculomotor muscles segmentation you implemented in Total segmentator. I spent much time doing the 20 manual segmentations, but it was worth it. I tried your new module, and the results are quite accurate. I do not doubt that it will be a great help to all those who are, as I am, interested in facial surgery.
It has been a pleasure to work with you like it has been on the masticatory muscles.
Best.
1 Like
It was really impressive! It predicted a reasonable boundary between the superior palpebrae & superior rectus, which was very hard for me to differentiate visually.
I can see that the segmentation looks reasonable, but how confident can you be that it is actually correct? I’m not very familiar with the oculomotor muscles, but I have similar concerns about segmenting middle-ear structures in CT scans.
- Robert
2 Likes
The reliability of segmentation depends on the resolution of the CT scan. Oculomotor muscles are quite easily discerned since they are homogeneous in density and surrounded by the fat inside the Tenon’s capsule, which has a very low Houston value. Thus, the effectiveness of the module.
I do not use the automatic segmentation for the middle-ear, but it looks the same to me.
If you want to discern the muscles in the CT scan, you need to set the correct WL-WW. This is what you get with. 350-40.
philippe pellerin
philippepellerin@me.com
1 Like
Thank you, Philippe.
Robert
Hi Philippe @philippepellerin,
Is there any citations associated with the TotalSegmentor oculomoter muscle segmentations? I did not see any publication listed in the README
Thanks!
Hi Robert, I did not published on this topic, but just did the 20 manual segmentations and give them to Jakob who trained his IA on it. So if you want to quote in a publication you can quote the module and if you like you could give the credit for the segmentation from 20 CT scans of normal patients.
Best regards.
philippe pellerin
philippepellerin@me.com
1 Like