Teaching

The goals of this course are to provide students with the working knowledge required to analyze and design digital signal processing systems and signals. Students will gain an understanding of basic discrete-time signals, their analysis and frequency spectra, and their use in modern digital signal processing systems, the ability to design and analyze modern digital filters and hands-on experience with various computer tools for implementing and testing discrete-time digital signal processing systems.

In this course, we will focus on two key components of medical imaging: (1) physical principles of image formation in various modalities; and (2) image processing and analysis. The objective of this course is to provide students with an understanding of the physical processes involved in multimodal medical image formation: X-ray, computed tomography (CT), Magnetic Imaging Resonance (MRI) and Ultrasound Imaging and to process and analyze these images to extract quantitative data to be used as clinical decision support tools. Image processing and analysis will cover overviews of a wide range of topics, including feature detection, segmentation, registration, classification, and visualization of 2D and 3D images. By the end of this course, the students will develop a basic understanding of the underlying physics of medical image formation, will be able to identify and implement image processing and analysis steps for various medical imaging problems, and will be able to read, understand and implement technical papers.