MRI Reconstruction

Description

This course presents Magnetic Resonance Imaging (MRI) from a signal processing perspective. MRI principles will be briefly introduced (or recalled, if you have attended the Biomedical Imaging lecture) and explored in a series of short Matlab exercises in which images are reconstructed from simulated and measured signals. MRI is based on the Fourier relation between magnetic resonance signal and the structure of the investigated object. Fourier Transform properties that you know from handbooks (convolution, shift, sampling, etc.) can be directly “seen” on the images, which makes MRI reconstruction an excellent playground to get a good feeling of this important signal processing tool. In addition to the FT, we will try out other reconstruction algorithms including back-projections and conjugate gradient iteration. This course has thus a double purpose: making you acquainted with MRI, and developing your signal processing skills. 

Professor

Prof. Klaas Prüssmann

Supervisor

Dr. Franciszek Hennel

Dates

4 afternoons

Location

ETZ

Participants

6 – 12