wasserth / TotalSegmentator

Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Apache License 2.0
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Tell us what you are using TotalSegmentator for #1

Open wasserth opened 2 years ago

wasserth commented 2 years ago

It would be really helpful for us to now who is using TotalSegmentator and what they are using it for. Therefore, we invite you to comment on this issue: What are you using TotalSegmentator for? What classes are you using? Are there any classes you are missing (we can try to add them in future releases)? Who are you (only if you want to disclose this)?

ivanstepanovftw commented 9 months ago

I am using TotalSegmentator to see my old medical imaging pictures without contrast and investigate my body

gleesoi commented 5 months ago

I would like to segment lungs,heart, breast/chest wall ctv/tissue and internal mammary nodes ctv for radiotherapy project. Any idea if those ctvs can be done or in future?thanks

Peaceandmaths commented 5 months ago

Hello,

I am a Master student at University of Applied Science of Zurich (ZHAW) and using Total Segmentator to segment the brain from head-neck-torso CT images and further train nnunet on these images cropped to the ROI (brain) to segment intracranial aneurysms. The tool is working well, thank you very much !

I have a question, when I visualize the images in ITK-Snap before and after applying TS + cropping they look quite different wrt the intensity range, i.e I see less details/nuances of grey. Is it normal ? Thanks in advance for any insights !

image

image

NMontanaBrown commented 4 months ago

Hi team,

We used TotalSegmentator to create a novel dataset called SARAMIS (Simulation Assets for Robotic Assisted and Minimally Invasive Surgery): https://github.com/NMontanaBrown/saramis and https://openreview.net/forum?id=SEU9m9NReo&noteId=SEU9m9NReo. It was presented at NeurIPS 23 Datasets and Benchmarks Track.

Thanks for making such a great tool!

wasserth commented 4 months ago

Hello,

I am a Master student at University of Applied Science of Zurich (ZHAW) and using Total Segmentator to segment the brain from head-neck-torso CT images and further train nnunet on these images cropped to the ROI (brain) to segment intracranial aneurysms. The tool is working well, thank you very much !

I have a question, when I visualize the images in ITK-Snap before and after applying TS + cropping they look quite different wrt the intensity range, i.e I see less details/nuances of grey. Is it normal ? Thanks in advance for any insights !

image

image

Probably the autowindowing results in differnet contrast. Try to set a fixed window which is the same for both images.

wasserth commented 4 months ago

I would like to segment lungs,heart, breast/chest wall ctv/tissue and internal mammary nodes ctv for radiotherapy project. Any idea if those ctvs can be done or in future?thanks

We are working on adding those. But it will take some more time.

skill-diver commented 4 months ago

Could you please add model weights for vertebrae class to do single part like vertebrae_C1 L1 T1 segementation? Thank you.

skill-diver commented 4 months ago

I know vertebrae_body could provide a whole spine segementation, but it could not give the subparts of C1 L1 T1 etc.

jianjun0407 commented 3 months ago

I use the following command, https://github.com/wasserth/TotalSegmentator#run-via-docker, using docker, to call the algorithm. I have two questions: First, I found that the size is 27.2G. Is the parameter file of the model included in docker ? image

Second, I do not find the model parameters file and config.json file on my local computer. If they are included in docker, how can I set "send_usage_stats" to False?

elaheh-amini commented 1 month ago

Hello @wasserth , I am using TotalSegmentator for lung lobe segmentation and I'm working on publishing a comparative study evaluating available models for this task. LOLA11 dataset is often used as a benchmark to test and compare the performance of different lung lobe segmentation algorithms. I was wondering if I have permission to submit the TotalSegmentator results on the LOLA11 dataset, with clear acknowledgment that the algorithm is your work.

If you are agreeable to this, please let me know if there are any specific conditions or preferences you would like me to follow when publishing the results. Thank you

ltminnovator commented 3 hours ago

Hi all,

Thank you so much for your hard work and for making your work so easy to deploy!

I'm a graduate student in a group working on ultrasound to CT registration, and we use your program to help identify landmark structures in the CT volumes.

One request: It appears that the base model does not have full coverage of the splenic and portal veins. I believe the team member responsible for this part of the project is merging their results from the full-body model and the liver vessels model, but would it be possible to create a version that is simply the organs and vessels in the stomach/liver region?