6.972 Data Acquisition and Reconstruction in MRI (H)

L TR10-11:30, Room 24-307
Professor Elfar Adalsteinsson, elfar@mit.edu
Prereq.: permission of instructor (6.003, 6.041 or equivalent, familiar with Matlab)
3-0-9

This subject qualifies as a Communication, Control and Signal Processing Engineering concentration subject.

This course applies analysis of signals and noise in linear systems, sampling, and Fourier properties to magnetic resonance (MR) imaging acquisition and reconstruction at a level appropriate for graduate students with interest in imaging sciences. The course will provide 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. Structural, diffusion tensor, and spectroscopic imaging applications will be discussed, along with the clinical and research problems motivating these topics. Active areas of research in the field of MR will be surveyed. Assignments include work with ‘real’ data, and the class includes a visit to a scan site for human MR studies. Grading is based on homework, a midterm, and a final project with presentation.