Medical Image Segmentation (CT) of Frog Organs using 3D Slicer

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I am working on a research project focused on environmental radioprotection. The goal is to develop voxelized phantoms of terrestrial species to study the radiological effects of pollutants. I have a CT-scan series of a frog and I need an expert to perform the precise segmentation of its internal organs.

I am looking for someone proficient in 3D Slicer to handle the manual or semi-automatic segmentation of various organs from the CT DICOM files.

Once the segmentation is complete, I will use these 3D models to calculate internal dosimetric functions for radioactive waste studies. This task is essential to replace primitive geometric shapes with realistic anatomical models.

Thank you

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If you have good-quality image then you can segment each organ by one (or maybe a few) clicks using NNInteractive extension.

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I agree with Andras, nnInteractive should be good for this. I have tried it with a salamander microCT scan with good results.

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Iamradiology technologist with strong experience in CT and MRI image analysis and precise segmentation using 3D Slicer.

I have hands-on experience in organ segmentation, anatomical labeling, and 3D modeling for both CT and MRI datasets, including research-oriented projects.

My background allows me to ensure voxel-accurate segmentations suitable for radiological, dosimetric, and AI-related studies.

I would be glad to review a sample dataset and discuss project details.

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Hello @eslamzaied222,

Thank you for your message and for sharing your experience — it sounds very relevant to what I’m working on.

I would like to contact you to discuss this further, but I don’t seem to have the option to send a private message here. If you’re open to it, could you please share an email address or another way to get in touch so we can talk in more detail?

Thank you, and I look forward to hearing from you.

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We encourage discussion on the forum, so that others can learn from your experience as well. If it is your data that you don’t want to make publically visible, then I suggest finding openly accessible data of the same kind using which you can continue discussing the method.

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Thank you for the advice! I’m definitely interested in getting more details on this approach. I’ll look for some openly accessible data that mirrors my situation, and as soon as I figure out the best way to move forward, I’ll share the results here so the community can learn from the experience too.

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