6.556J, Data Acquisition and
Image Reconstruction in MRI - Fall Semester
Professor Elfar Adalsteinsson
This class 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.
Active areas of MR research are surveyed. Assignments include
Matlab-based work with real data. Includes visit to a scan site
for human MR studies.
The website for the class from fall 2005 is http://stellar.mit.edu/S/course/HST/fa05/HST.587/index.html.
I plan to use stellar again for this fall.
6.003, Signals and Systems -
Spring 2005 and 2006 | Class Information
Professor Elfar Adalsteinsson
Fundamentals of signal and system analysis, with applications
drawn from filtering, audio and image processing, communications,
and automatic control. Topics include convolution, Fourier series
and transforms, sampling and discrete-time processing of continuous-time
signals, modulation, Laplace and Z-transforms, and feedback systems.
4 Engineering Design Points.
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