Difference between revisions of "ITK-SNAP"

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*Extensive tutorials
 
*Extensive tutorials
 
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==Required Modules==
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==Environment Modules==
===Serial===
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Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
* {{#var:app}}
 
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===Parallel (OpenMP)===
 
* intel
 
* {{#var:app}}
 
===Parallel (MPI)===
 
* intel
 
* openmpi
 
* {{#var:app}}
 
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==System Variables==
 
==System Variables==
* HPC_{{uc:{{#var:app}}}}_DIR
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
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{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Revision as of 13:59, 13 June 2022

Description

itksnap website  

SNAP is a software application used to segment structures in 3D medical images. It provides semi-automatic segmentation using active contour methods, as well as manual delineation and image navigation. In addition to these core functions, SNAP provides a number of supporting utilities. Some of the core advantages of SNAP include

  • Linked cursor for seamless 3D navigation
  • Manual segmentation in three orthogonal planes at once
  • Friendly UI for selecting active contour segmentation parameters
  • 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
  • Extensive tutorials

Environment Modules

Run module spider itksnap to find out what environment modules are available for this application.

System Variables

  • HPC_ITKSNAP_DIR - installation directory

Additional Information

ITK-SNAP is a GUI application and can be used only on GUI server for short-term lightweight operations.



Citation

If you publish research that uses itksnap you have to cite it as follows:

Paul A. Yushkevich, Joseph Piven, Heather Cody Hazlett, Rachel Gimpel Smith, Sean Ho, James C. Gee, and Guido Gerig. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. Neuroimage. 2006 Jul 1; 31(3):1116-28.

doi:10.1016/j.neuroimage.2006.01.015


Validation

  • Validated 4/5/2018