itksnap – semi-automatic segmentation of structures in 3D images

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]
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