Computational Magnetic Resonance Imaging

3 Hours

Introduction to Magnetic Resonance Imaging (MRI), particularly focusing on computational co-design of the signal acquisition and post-processing algorithms. Discuss principles of MRI, including basic system hardware, spin physics, signal formation, contrast mechanisms, pulse sequence design, image detection, and image reconstruction. Examine advanced image reconstruction including parallel imaging, compressed sensing, and machine learning; and exploration of concepts using real and synthetic data. Only one of the following may be counted: Biomedical Engineering 383J (Topic: Computational MRI), Computational Science, Engineering, and Mathematics 397 (Topic: Computational MRI), Electrical and Computer Engineering 381K (Topic 21), Electrical and Computer Engineering 381V (Topic: Computational MRI), Electrical Engineering 381V (Topic: Computational MRI).