NAME

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

SYNOPSIS

       itksnap [options] [grey_image]

DESCRIPTION

       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

OPTIONS

       --grey, -g FILE
              Load greyscale image FILE (optional)

       --segmentation, -s FILE
              Load segmentation image FILE

       --labels, -l FILE
              Load label description file FILE

       --rgb FILE
              Load RGB image FILE (as overlay if combined with -g)

AUTHOR

       ITK-SNAP  was  written  by  Paul A. Yushkevichi, Hui Zhang, Casey Goodlett, Timothy Burke,
       Nicholas Tustison, Guido Gerig, Silvio Turello, Joachim  Schlegel,  Gabor  Szekely,  Chris
       Wynn,  Arun Neelamkavil, David Gregg, Eric Larsen, Sanjay Sthapit, Sean Ho, Ashraf Farrag,
       Amy Henderson, Robin Munesato, Ming Yu,  Nathan  Moon,  Thorsten  Scheuermann,  Konstantin
       Bobkov, Nathan Talbert, Yongjik Kim, Pierre Fillard, Daniel S. Fritsch, Stephen R. Aylward

       This  manual  page  was written by Michael Hanke <michael.hanke@gmail.com>, for the Debian
       project (but may be used by others).

SEE ALSO

       Manual and tutorial: http://itksnap.org