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Proceedings Paper

Motion estimation/compensated compressed sensing using patch-based low rank penalty
Author(s): Huisu Yoon; Jong Chul Ye
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Paper Abstract

In this paper, a novel patch-based signal processing algorithm for motion estimated/compensated compressed sensing dynamic MR imaging is proposed. More specifically, we impose a non-convex patch-based low-rank penalty that exploits self-similarities within the images. This penalty is shown to favor capturing geometric features such as edges rather than reconstructing the background noises. To solve the resulting non-convex optimization problem, we propose a globally convergent concave-convex procedure (CCCP) using convex conju- gate, which has closed form solution at each sub-iteration. Experimental results demonstrate that the proposed algorithm outperforms the existing ones.

Paper Details

Date Published: 26 September 2013
PDF: 8 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88581Y (26 September 2013); doi: 10.1117/12.2023170
Show Author Affiliations
Huisu Yoon, Korea Advanced Institute of Science and Technology (Korea, Republic of)
Jong Chul Ye, Korea Advanced Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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