Course Information

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.

Class Time and Location

  • TTh 12:50-2:05
    380-380X, Math Corner of the Main Quad

Office Hours

  • Tuesday 4:30-5:30 at tables, second floor Packard (Ethan)

  • Wednesday 2-3 in Packard 258 (John)

  • Thursday 10-11 in Packard 106 (Ethan)

Grading

  • Weekly homework and programming assignments (50%)

  • Project (50%)

Textbooks

The textbooks are available on-line, but you can also get them from Amazon.

Required



Handbook of MRI Pulse Sequences
Matt A. Bernstein, Kevin F. King, Xiaohong Joe Zhou
Science Direct Link
amazon link



Principles of Computerized Tomographic Imaging
Aninash C. Kak, Malcolm Slaney
Link to On-Line PDF
amazon link

Recommended



Student MATLAB
Available at the Stanford Bookstore (upstairs)

Other Useful Books



Computed Tomography Principles, Design, Artifacts, and Recent Advances
Jiang Hsieh
amazon link



Positron Emission Tomography: Basic Sciences
Dale L. Bailey, David W. Townsend, Peter E. Valk, Michael N. Maisey
Amazon Link