EE369C: Medical Image Reconstruction


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.


  • Possible final projects are described under the “Final Project” link on the left.You are welcome to do one of these, or anything else related to the class. In a week or so, please send me a paragraph describing what you are planning. The projects are due Dec 11th, the last day of finals week.

  • TA office hours will be Tuesday 10-11 this week, in the kitchen area on the third floor of Packard.

  • The mfiles gfactor.m and sense.m have been posted, and are available under the mfiles link on the left. Use them for assignment 5 if you are unsure of your solution for assignment 4.

  • Solutions for assignments 1, 3, and 4 have been posted.

  • No Class Oct 30 I'm away on another trip

  • Eric Gibbons has been appointed TA. His office hours are 1-2 Monday, in Packard 104.

  • No Class Sept 30 I'm away at an NIH study section.