ITK Tutorial Presentation Slides
Ibanez L., Ng L., Cates J., Aylward S., Lorensen B., Jomier J.
Insight Software Consortium

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/161
This course introduces attendees to select open-source efforts in the field of medical image analysis. Opportunities for users and developers are presented.
The course particularly focuses on the open-source Insight Toolkit (ITK) for medical image segmentation and registration. The course describes the procedure for downloading and installing the toolkit and covers the use of its data representation and filtering classes. Attendees are shown how ITK can be used in their research, rapid prototyping, and application development.

LEARNING OUTCOMES
After completing this course, attendees will be able to:
contribute to and benefit from open-source software for medical image analysis
download and install the ITK toolkit
start their own software project based on ITK
design and construct an image processing pipeline
combine ITK filters for medical image segmentation
combine ITK components for medical image registration

INTENDED AUDIENCE
This course is intended for anyone involved in medical image analysis. In particular it targets graduate students, researchers and professionals in the areas of computer science and medicine. Attendees should have an intermediate level on object oriented programming with C++ and must be familiar with the basics of medical image processing and analysis.
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Information
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Paper Id: 70
Keywords: ITK, Tutorial,
Revision: 1 (01-10-2006)
Status: Reviews done
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Associated Publications
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A Framework for Algorithm Evaluation and Clinical Application Prototyping using ITK
The MITK Approach
User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP

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