Date of Award

Fall 2011

Degree Type

Thesis

Degree Name

Master of Applied Science (MASc)

Department

Computational Engineering and Science

Supervisor

Christopher Anand

Language

English

Abstract

Standard MRI is used to image objects at rest. In addition to standard MRI images, which measure tissues at rest, Phase Contrast MRI can be used to quantify the motion of blood and tissue in the human body. The current method used in Phase Contrast MRI is time consuming. The development of new trajectories has minimized imaging time, but creates sub-sampling errors. The proposed method uses regularization of velocities and proton densities to eliminate errors arising from k-space under-sampling.

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