Distortion correction in magnetic resonance imaging using the simulated point spread function

Geometric distortion is a highly prevalent issue for echo-planar imaging (EPI), due to long readout times and field inhomogeneity. Previously, the measured point spread function (PSF) has been shown to be effective in correcting this distortion. In this work, we reconstruct an image quickly and address the distortion with a point spread function that was generated entirely through simulation using the trajectory and measured field map. The distortion correction with this approach is shown to be better than k-space based iterative reconstructions and is robust to high differentials in magnetic field maps when we use an optimal trajectory. In addition, this technique is well-suited to parallel implementation, as the system matrix used is sparse.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2016

Author dc:creator

• LaBelle, Genevieve Marie

Contributors dc:contributor

• Sutton, Brad P.

• magnetic resonance imaging
• point spread function
• distortion
• distortion correction
• field inhomogeneity

Statement dc:rights

• Copyright 2016 Genevieve LaBelle

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/90809

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/90809