Motion Compensation and Super-Resolution in Magnetic Resonance Elastography

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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