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Overview
Image reconstruction methods are central to many of the new applications of medical imaging. This course will provide an introduction these techniques in a consistent framework by developing a sequence of software tools for the reconstruction of medical imaging data. The class will start with coverage of a number of common ideas that occur in a wide range of problems, including reconstructing images from non-uniformly sampled data, reconstruction from projection data, reconstruction from undersampled data, and automatically focusing images. Examples will be chosen from magnetic resonance imaging (MRI), x-ray computed tomography (CT) and positron emission tomography (PET).
Prerequisites: EE369A,B are recommended.
Course Information
See the information in the links on the left.
Announcements
No Class Sept 27 The first class will be Sept 29. I'm away at an NIH study section the 27th.
Office hours have been posted under the “Course Info” link on the left.
Assignment 1 is due Thursday Oct 13.
Assignment 2 has been posted, along with the associated m-file and data files. This is due Oct 20th.
Read the Beatty paper, which is here
A mat file with a better weighting function w2 is here
The due date for Assignment 5 has been extended to Nov 15, because of the ISMRM deadline this week
Links have been added for the wavelab toolbox and the imshowWAV.m mfile. See the Assignments page.