itksnap – semi-automatic segmentation of structures in 3D images¶
- More information
- External resources
SNAP provides semi-automatic segmentation of structures in medical images (e.g. magnetic resonance images of the brain) using active contour methods, as well as manual delineation and image navigation. Noteworthy features are:
Linked cursor for seamless 3D navigation
Manual segmentation in three orthogonal planes at once
Support for many different 3D image formats, including NIfTI
Support for concurrent, linked viewing and segmentation of multiple images
Limited support for color images (e.g., diffusion tensor maps)
3D cut-plane tool for fast post-processing of segmentation results
- Reference:
Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee,, Guido Gerig (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. *Neuroimage, 31: 1116-1128, *, . [Abstract] [DOI]
Distribution |
Base version |
Our version |
Architectures |
|---|---|---|---|
Debian GNU/Linux 10.0 (buster) |
3.6.0-3 |
||
Debian GNU/Linux 11.0 (bullseye) |
3.6.0-5 |
||
Debian GNU/Linux 9.0 (stretch) |
3.4.0-2 |
3.2.0-1~nd80+1+nd90+1 |
i386, amd64 |
Debian unstable (sid) |
2.2.0-1~nd+1 |
i386 |
|
3.2.0-1~nd+1 |
amd64 |
||
Ubuntu 16.04 “Xenial Xerus” (xenial) |
3.4.0-1build1 |
||
Ubuntu 18.04 “Bionic Beaver” (bionic) |
3.6.0-2 |
||
Ubuntu 20.04 “Focal Fossa” (focal) |
3.6.0-5build1 |