The National Library of Medicine Insight
Segmentation and Registration Toolkit (ITK) is a
software system to support the Visible Human
Project. Segmentation is the process of
identifying and classifying data found in a
digitally sampled representation. Registration is
the task of aligning or developing correspondences
between data. For example, in the medical
environment, a CT scan may be aligned with an MRI
scan in order to combine the information contained
in both.
License: BSD License (revised)
Changes:
This release supports a policy framework in CMake. It adds checks to see how different C++ compilers handle invalid flags. It supports gcc 4.2 on Mac OS X. It supports LibXML2. The license has changed to the OSI-approved BSD license. Baseline images have been updated to account for correct sparse field level set surface interpolation. Support for isotropic and anisotropic image spacings has been added to all level sets functions and filters, including serial and parallel sparse field level sets and CurvatureFlowFunction.
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