Foundations of Magnetic Resonance Imaging

MRI is the course where signal processing finally meets the human body: you learn how nuclear spins, gradient fields, and carefully timed RF pulses can be coaxed into producing a 2D image, and why k-space is the right way to think about all of it. Expect to work through the Bloch equation, derive the signal equation, reason about sampling and contrast, and put it together in a project on a real imaging method from Nishimura's book. It sits downstream of signals-and-systems and Fourier analysis, and is the natural entry point if you want to do medical imaging research or work on the reconstruction side of MR.