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Communication Dans Un Congrès Année : 2018

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

Ningning Zhao
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  • PersonId : 1299576
  • IdRef : 196683270
Wenbo Gu
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Dan Ruan
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  • PersonId : 1165365
Ke Sheng
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  • PersonId : 1165366

Résumé

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.
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Dates et versions

hal-03623157 , version 1 (29-03-2022)

Identifiants

Citer

Ningning Zhao, Daniel O'Connor, Wenbo Gu, Dan Ruan, Adrian Basarab, et al.. Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint. SPIE Medical Imaging 2018, Feb 2018, Houston, United States. pp.1-8, ⟨10.1117/12.2293878⟩. ⟨hal-03623157⟩
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