Motion estimation/compensated compressed sensing using patch-based low rank penalty

Huisu Yoon; Jong Chul Ye

doi:10.1117/12.2023170

26 September 2013 Motion estimation/compensated compressed sensing using patch-based low rank penalty

Huisu Yoon, Jong Chul Ye

Proceedings Volume 8858, Wavelets and Sparsity XV; 88581Y (2013) https://doi.org/10.1117/12.2023170
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Huisu Yoon and Jong Chul Ye "Motion estimation/compensated compressed sensing using patch-based low rank penalty", Proc. SPIE 8858, Wavelets and Sparsity XV, 88581Y (26 September 2013); https://doi.org/10.1117/12.2023170

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available