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, but not required.

Class Time and Location

• TTh 2:30-3:50

• zoom link

• Recordings available on canvas for Stanford affiliated people

Instructor Office Hours

• Wednesday 1-2

Grading

• Weekly homework and programming assignments (50%)

• Project (50%)

• People taking the P/NC will pass if they complete the homeworks.

Textbooks

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