Image Processing

Organizers: Mark Jenkinson, Ph.D., David J. Hawkes, Ph.D.
Skill Level: Basic

Tuesday 6 May 2008


This two-hour course will discuss introductory material on image processing of MR data. In particular, it will cover fundamental image processing techniques such as feature extraction and image transformations, as well as specific methods for segmentation, registration and shape analysis. Applications will be demonstrated in a range of body areas.

Educational Objectives:

Upon completion of this course, participants should be able to:

  • Explain how several basic image processing methods work and be able to choose appropriate techniques for relevant application problems;
  • Describe several methods for segmenting images and understand their limitations; and
  • Describe the fundamental aspects of registration and shape-based analysis and know how to apply them in practice..
  • Audience Description:

    This course is designed for individuals with a basic grasp of the mathematics and science of MRI. No previous experience with image processing or image analysis is necessary. The content is suitable for either clinical or basic science researchers with some experience in analyzing or manipulating MR. This course is especially suitable for those early in their career, including students who wish to gain a foundation in data analysis methods for MR.

    14:00 Foundations of Image Processing Chloe Hutton, Ph.D.
    14:30 Segmentation Simon K. Warfield, Ph.D.
    15:00 Linear and Non-Linear Registration Gary E. Christensen, D.Sc.
    15:30 Shaped-Based Analysis Timothy F. Cootes, Ph.D.
    16:00 Adjournment