[skwb]

I would first start our by using CT since soft tissue subtraction is a very easy task. This is because soft tissue has a certain density compared to bone (houndsfield unit [1].) You would maybe need to smooth for a good 3D print, but it's probably an easy starting place. Hell, a quick numpy script could easily do this. I would also poke at radiological scanning softwear (I use Radiant).

As far as data sources, I think you can probably find some open source CT scans to do this [2, 3]. There are PLENTY of chest and abdominal open source CT scans that exist. You may need to "mix and match" some body parts, but it wouldn't be too hard as long as you're using same gendered scans with similar height and anatomical features. Sort of the way they 'interpolate' for dinosaur bones.

Is this for a research project?

Good luck!

[1]. https://en.wikipedia.org/wiki/Hounsfield_scale [2]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043884/ [3]. https://www.radrounds.com/profiles/blogs/list-of-open-access...