6.8810
Data Acquisition and Image Reconstruction in MRI
Applies analysis of signals and noise in linear systems, sampling, and Fourier properties to magnetic resonance (MR) imaging acquisition and reconstruction. Provides adequate foundation for MR physics to enable study of RF excitation design, efficient Fourier sampling, parallel encoding, reconstruction of non-uniformly sampled data, and the impact of hardware imperfections on reconstruction performance. Surveys active areas of MR research. Assignments include Matlab-based work with real data. Includes visit to a scan site for human MR studies.
Prerequisites & course information
Same subject as HST.580[J] Prereq: 6.3010 G (Spring) 3-0-9 units
Sources
- Course catalogue ↗2026–2027