Abstract #1056
Motion Compensation and Super-Resolution in Magnetic Resonance Elastography
Guy Nir 1 , Ramin S. Sahebjavaher 1 , and Septimiu E. Salcudean 1
1
Electrical and Computer Engineering,
University of British Columbia, Vancouver, BC, Canada
We present an image processing approach for enhancing
magnetic resonance elastography (MRE) data. The approach
employs image registration to compensate for motion of
patients during the, typically lengthy, acquisition
process, in order to improve the accuracy of the
reconstructed elastogram. Then, a super-resolution
technique is employed to increase the resolution of the
registered phase images. To this end, the proposed
approach novelly utilizes unique properties of the MRE
acquisition process. The proposed approach is tested on
phantom and prostate cancer patients' data to evaluate
its potential in improving visualization and cancer
detection.
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