Foundations of Magnetic Resonance Imaging

MRI is fundamentally a signal-processing problem dressed up in physics: you manipulate nuclear spins with magnetic fields and gradients, then reconstruct an image from what you measure in k-space. This graduate course builds that pipeline from the Bloch equation up through selective excitation and 2D imaging, with a substantial project (roughly a third of your workload) where you dig into a specific technique or research direction. Expect heavy use of Fourier analysis and linear systems intuition from undergrad signals coursework — once you see MRI as sampling the Fourier transform of the body, the rest of medical imaging and the active research frontier (fast sequences, contrast mechanisms, reconstruction) becomes approachable.