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Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint
Author(s): Ningning Zhao; Daniel O'Connor; Wenbo Gu; Dan Ruan; Adrian Basarab; Ke Sheng
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Paper 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.

Paper Details

Date Published: 2 March 2018
PDF: 8 pages
Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 1057429 (2 March 2018); doi: 10.1117/12.2293878
Show Author Affiliations
Ningning Zhao, Univ. of California, Los Angeles (United States)
Daniel O'Connor, Univ. of California, Los Angeles (United States)
Wenbo Gu, Univ. of California, Los Angeles (United States)
Dan Ruan, Univ. of California, Los Angeles (United States)
Adrian Basarab, Institut de Recherche en Informatique de Toulouse, Univ. of Toulouse (France)
Ke Sheng, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 10574:
Medical Imaging 2018: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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