42-735 Medical Image Analysis

12 units, Carnegie Mellon University

Students will gain theoretical and practical skills in medical image analysis, including skills relevant to general image analysis. The fundamentals of computational medical image analysis will be explored, leading to current research in applying geometry and statistics to segmentation, registration, visualization, and image understanding. Student will develop practical experience through projects using the National Library of Medicine Insight Toolkit ITK , a popular opensource software library developed by a consortium of institutions including Carnegie Mellon University and the University of Pittsburgh. In addition to image analysis, the course will include interaction with clinicians at UPMC. It is possible that a few class lectures may be videoed for public distribution. Prerequisites Knowledge of vector calculus, basic probability, and either C or python. Required textbook, Machine Vision, ISBN 052116981X Optional textbook, Insight to Images, ISBN 9781568812175.

Prerequisites: 03-121

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