ITK/Course Ware

This page is intended to serve as an index for existing material available for training in ITK as well as for teaching Image Processing by using ITK.

Hands-on Exercises

The tutorials below refer to exercises that are intended to be executed by the students during the presentations. The source code of these exercises is available in the NAMIC Sandbox (Subversion) repository, under the directory src/Exercises

http://www.na-mic.org/svn/NAMICSandBox/trunk/ITKAdvancedCourse/src/Exercises/

ITK Tutorials

Some of this material is also presented in the HTML web pages of the main [www.itk.org] web site:

http://www.itk.org/HTML/Tutorials.htm

Base Tutorials

This tutorials are intended to be used for training ITK users on how to take advantage of the toolkit.

• [ITK Introduction]
• [ITK Architecture]
• [ITK Basic Filters]
• [Integrating ITK with Applications]
• [Segmentation Methods]
• [Comibining ITK with VTK]
• [Integration with GUIs]
• [Clinical Applications]

The official versions of these files can be found in the InsightDocuments CVS module,

under the directory CourseWare/Training:

http://www.itk.org/cgi-bin/viewcvs.cgi/CourseWare/Training/?root=InsightDocuments

Advanced Tutorials

This tutorials are intended for future developers who will contribute new material to the toolkit.

The core of this material was prepared for a course given at EPFL

http://www.na-mic.org/Wiki/index.php/Dissemination:EPFL_Workshop_2005

The advanced presentations include:

• ITK Design Patterns
• Writing a new ITK Filter
• Open Science
• Multi-Threading
• Spatial Objects
• Statistical Classification
• Software Development Process
• Deformable Registration BSplines
• Deformable Registration Demons
• Deformable Registration FEM-Based

The official versions of these presentations can be found in the Subversion repository of the NAMIC Sandbox, under the directory ITKAdvancedCourse

http://www.na-mic.org/svn/NAMICSandBox/trunk/ITKAdvancedCourse/doc/presentations/

Specialized Courses

Image Analysis at University of Pittsburgh and Carnegie Mellon University

• Methods In Image Analysis

Open Source Course at Rensselaer Polytechnic Institute (RPI)

• Open Source Practices
  • Course Notes

Image Registration Course at Rensselaer Polytechnic Institute (RPI)

• Image Registration