Provided by: libinsighttoolkit4-dev_4.12.2-dfsg1-4.1ubuntu1_amd64 bug


       insighttoolkit - imaging toolkit for segmentation and registration


       This manual page briefly documents the Insight Toolkit (ITK).

       ITK  is  an  open-source  software  toolkit  for performing registration and segmentation.
       Segmentation is the process of identifying and  classifying  data  found  in  a  digitally
       sampled  representation.  Typically  the  sampled representation is an image acquired from
       such medical instrumentation as CT or MRI scanners.  Registration is the task of  aligning
       or  developing correspondences between data. For example, in the medical environment, a CT
       scan may be aligned with a MRI scan in order to combine the information contained in both.

       ITK is implemented in C++. In addition, an automated wrapping process generates interfaces
       between  C++  and  interpreted  programming  languages such as Tcl, Java, and Python. This
       enables developers to create software using a variety of programming languages. ITK's  C++
       implementation style is referred to as generic programming. Such C++ templating means that
       the code is highly efficient, and that  the  many  software  problems  are  discovered  at
       compile-time, rather than at run-time during program execution.

       Because  ITK  is  an open-source project, developers from around the world can use, debug,
       maintain, and extend the software. ITK uses a model of software development referred to as
       Extreme Programming. Extreme Programming collapses the usual software creation methodology
       into a simultaneous  and  iterative  process  of  design-implement-test-release.  The  key
       features  of  Extreme  Programming  are communication and testing. Communication among the
       members of the ITK community is what helps manage the rapid  evolution  of  the  software.
       Testing  is  what  keeps  the  software stable. In ITK, an extensive testing process is in
       place that measures the quality on a daily basis.


       In 1999 the US National Library of Medicine []  of  the
       National  Institutes  of  Health  awarded  a three-year contract to develop an open-source
       registration and segmentation toolkit, which eventually came to be known  as  the  Insight
       Toolkit  (ITK). The primary purpose of the project is to support the Visible Human Project
       [] by providing  software  tools
       to  process  and  work with the project data. ITK's NLM Project Manager was Dr. Terry Yoo,
       who coordinated the six prime contractors  who  made  up  the  Insight  consortium.  These
       consortium members included the three commercial partners GE Corporate R&D, Kitware, Inc.,
       and MathSoft (the company name  is  now  Insightful);  and  the  three  academic  partners
       University  of  North  Carolina  (UNC),  University  of  Tennessee (UT), and University of
       Pennsylvania (UPenn).  The Principle Investigators for these partners were,  respectively,
       Bill  Lorensen at GE CRD, Will Schroeder at Kitware, Vikram Chalana at Insightful, Stephen
       Aylward with Luis Ibanez at UNC (Luis is now at Kitware), Ross Whitaker with Josh Cates at
       UT  (both  now at Utah), and Dimitri Metaxas at UPenn. In addition, several subcontractors
       rounded out the consortium including Peter Raitu at Brigham  &  Women's  Hospital,  Celina
       Imielinska  and  Pat  Molholt  at  Columbia  University, Jim Gee at UPenn's Grasp Lab, and
       George Stetton at University of Pittsburgh.


       ITK       is       released       under       a       BSD-style       license.         See
       /usr/share/doc/libinsighttoolkitX.Y/copyright for the full text.


       The API documentation is available in HTML generated by Doxygen, in the insighttoolkit-doc


       Join   the    community    by    subscribing    to    the    ITK    mailing    lists    at


       The  Insight  Segmentation  and  Registration Toolkit is developed by the Insight Software
       Consortium and the ITK community.


       See the project homepage for more information.

                                           Oct 11, 2005                         INSIGHTTOOLKIT(3)