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.


The class will be conducted on zoom. The link is

The lectures will be taped, and available on canvas to anyone signed up for the course. You need to have a Stanford login ID to watch the recorded videos.