42-431 Introduction to Biomedical Imaging and Image Analysis

12 units, Carnegie Mellon University

This course gives an overview of tools and tasks in various biological and biomedical imaging modalities, such as microscopy, magnetic resonance imaging, xray computed tomography, ultrasound and others. Students will be exposed to the major underlying principles in modern imaging systems as well as state of the art methods for processing biomedical images such as deconvolution, registration, segmentation, pattern recognition, etc. The discussion of these topics will draw on approaches from many fields, including physics, statistics, signal processing, and machine learning. As part of the course, students will be expected to complete an independent project. Students will have the opportunity to visit laboratory to see real biomedical imaging devices in action. Prerequisites 18290 Signals and Systems or permission of the instructor, working knowledge of Matlab, and some image processing experience. Crosslisted courses 18496

Prerequisites: 42-202 and 18-290

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