ITK-SNAP is a software application
used to segment structures in 3D medical images.
It is the product of a decade-long collaboration between
Paul Yushkevich, Ph.D., of the Penn Image Computing and Science Laboratory (PICSL)
at the University of Pennsylvania,
and Guido Gerig, Ph.D., of the Scientific Computing and Imaging Institute (SCI)
at the University of Utah, whose vision was to create a tool
that would be dedicated to a specific function,
segmentation, and would be easy to use and learn.
ITK-SNAP is free, open-source, and multi-platform.

ITK-SNAP provides semi-automatic segmentation using active contour methods,
as well as manual delineation and image navigation.
In addition to these core functions, ITK-SNAP offers many supporting utilities.

Some of the core advantages of ITK-SNAP include:
- Linked cursor for seamless 3D navigation
- Manual segmentation in three orthogonal planes at once
- A modern graphical user interface based on Qt
- Support for many different 3D image formats, including NIfTI and DICOM
- Support for concurrent, linked viewing, and segmentation of multiple images
- Support for color, multi-channel, and time-variant images
- 3D cut-plane tool for fast post-processing of segmentation results
- Extensive tutorial and video documentation

Compared to other, larger open-source image analysis tools,
ITK-SNAP design focuses specifically on the problem of image segmentation,
and extraneous or unrelated features are kept to a minimum.
The design also emphasizes interaction and ease of use,
with the bulk of the development effort dedicated to the user interface.

• Aleksei Nikiforov
• Igor Vlasenko

• itk-snap
• itk-snap-debuginfo