Advanced Topics in Magnetic Resonance Imaging B

4 units · Graduate courses (200-299)

(Same as Bioengineering M229B.) Lecture, four hours. Requisite: course M219. Overview of magnetic resonance image reconstruction principles, algorithm characterization, and computational imaging, including a comprehensive overview of modern image reconstruction algorithms. Covers foundational frameworks such as Fourier reconstruction, parallel imaging, compressed sensing, machine learning-based approaches, treatments of dynamic imaging (k-t space formulations). Emphasis on specific prior knowledge each reconstruction framework leverages, how it interacts with the encoding process, how decoding is performed, associated failure modes and consequences, and how these approaches redefine traditional speed limits beyond the Nyquist criterion. Mathematical and hands-on computational homework test and develop student skills. Letter grading.