Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint

Ningning Zhao; Daniel O'Connor; Wenbo Gu; Dan Ruan; Adrian Basarab; Ke Sheng

doi:10.1117/12.2293878

2 March 2018 Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint

Ningning Zhao, Daniel O'Connor, Wenbo Gu, Dan Ruan, Adrian Basarab, Ke Sheng

Proceedings Volume 10574, Medical Imaging 2018: Image Processing; 1057429 (2018) https://doi.org/10.1117/12.2293878
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

Abstract

This paper addresses the problem of dynamic magnetic resonance image (DMRI) reconstruction and motion estimation jointly. Because of the inherent anatomical movements in DMRI acquisition, reconstruction of DMRI using motion estimation/compensation (ME/MC) has been explored under the compressed sensing (CS) scheme. In this paper, by embedding the intensity based optical flow (OF) constraint into the traditional CS scheme, we are able to couple the DMRI reconstruction and motion vector estimation. Moreover, the OF constraint is employed in a specific coarse resolution scale in order to reduce the computational complexity. The resulting optimization problem is then solved using a primal-dual algorithm due to its efficiency when dealing with nondifferentiable problems. Experiments on highly accelerated dynamic cardiac MRI with multiple receiver coils validate the performance of the proposed algorithm.

Citation Download Citation

Ningning Zhao, Daniel O'Connor, Wenbo Gu, Dan Ruan, Adrian Basarab, and Ke Sheng "Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint", Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057429 (2 March 2018); https://doi.org/10.1117/12.2293878

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