Medical Imaging and Image Informatics: Principles and Algorithms

Catalog description

Tomographic medical images, along with computer-aided image processing and understanding methods, have been widely utilized in clinical practice for health evaluation and disease detection. This course focuses on the principles of medical imaging technology, i.e. physiological origins, data acquisition and image formation, as well as algorithmic strategies for quantitative understanding of various medical images. It provides students with a general physics-signal-system understanding of the medical imaging modalities. The course also addresses the clinical needs, the technical problems, and the rationales and strategies of quantitative image analysis. Current and potential clinical applications will be used as illustrations throughout the course. The course also strives to demonstrate the general process of conducting applied research, from problem finding through scientific analysis, solution proposal, implementation, experimentation and evaluation. Note: Knowledge in probability and statistics, linear algebra, calculus, and image processing/computer vision, experiences in computer programming or MAT/LAB, or permission of instructor is required.