|Oct 28, 2009|
|Model-based image reconstruction methods
Course No.: 755
Credit Hours: 2-3
Instructor: Jeff Fessler
Prerequisites: At least one of EECS 516, 556, or 564
The goal of this course is to bridge the gap between500-level EECS courses such as EECS 516,556,564 andthe modern image formation literature.
Topics include: image restoration; tomographic image reconstruction;reconstruction from Fourier samples and MR image reconstruction;regularization; special optimization algorithms; analysis of spatialresolution / noise / detectability for nonlinear algorithms;compressed sensing and reconstruction from under-sampled data.
Applications of this material include all imaging modalities thatinvolve inverse problems, including X-ray CT, MRI, RADAR, SONAR,PET, SPECT, optical imaging (e.g., microscopy and astronomy),acoustic tomography, super-resolution imaging from video sequences, etc.
See web site for more information. [More Info]