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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