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Motion adaptive patch-based low-rank approach for compressed sensing cardiac cine MRI.
IEEE Trans Med Imaging 2014; 33(11):2069-85IT

Abstract

One of the technical challenges in cine magnetic resonance imaging (MRI) is to reduce the acquisition time to enable the high spatio-temporal resolution imaging of a cardiac volume within a short scan time. Recently, compressed sensing approaches have been investigated extensively for highly accelerated cine MRI by exploiting transform domain sparsity using linear transforms such as wavelets, and Fourier. However, in cardiac cine imaging, the cardiac volume changes significantly between frames, and there often exist abrupt pixel value changes along time. In order to effectively sparsify such temporal variations, it is necessary to exploit temporal redundancy along motion trajectories. This paper introduces a novel patch-based reconstruction method to exploit geometric similarities in the spatio-temporal domain. In particular, we use a low rank constraint for similar patches along motion, based on the observation that rank structures are relatively less sensitive to global intensity changes, but make it easier to capture moving edges. A Nash equilibrium formulation with relaxation is employed to guarantee convergence. Experimental results show that the proposed algorithm clearly reconstructs important anatomical structures in cardiac cine image and provides improved image quality compared to existing state-of-the-art methods such as k-t FOCUSS, k-t SLR, and MASTeR.

Authors

No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

24951686

Citation

Yoon, Huisu, et al. "Motion Adaptive Patch-based Low-rank Approach for Compressed Sensing Cardiac Cine MRI." IEEE Transactions On Medical Imaging, vol. 33, no. 11, 2014, pp. 2069-85.
Yoon H, Kim KS, Kim D, et al. Motion adaptive patch-based low-rank approach for compressed sensing cardiac cine MRI. IEEE Trans Med Imaging. 2014;33(11):2069-85.
Yoon, H., Kim, K. S., Kim, D., Bresler, Y., & Ye, J. C. (2014). Motion adaptive patch-based low-rank approach for compressed sensing cardiac cine MRI. IEEE Transactions On Medical Imaging, 33(11), pp. 2069-85. doi:10.1109/TMI.2014.2330426.
Yoon H, et al. Motion Adaptive Patch-based Low-rank Approach for Compressed Sensing Cardiac Cine MRI. IEEE Trans Med Imaging. 2014;33(11):2069-85. PubMed PMID: 24951686.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Motion adaptive patch-based low-rank approach for compressed sensing cardiac cine MRI. AU - Yoon,Huisu, AU - Kim,Kyung Sang, AU - Kim,Daniel, AU - Bresler,Yoram, AU - Ye,Jong Chul, Y1 - 2014/06/12/ PY - 2014/6/22/entrez PY - 2014/6/22/pubmed PY - 2015/6/30/medline SP - 2069 EP - 85 JF - IEEE transactions on medical imaging JO - IEEE Trans Med Imaging VL - 33 IS - 11 N2 - One of the technical challenges in cine magnetic resonance imaging (MRI) is to reduce the acquisition time to enable the high spatio-temporal resolution imaging of a cardiac volume within a short scan time. Recently, compressed sensing approaches have been investigated extensively for highly accelerated cine MRI by exploiting transform domain sparsity using linear transforms such as wavelets, and Fourier. However, in cardiac cine imaging, the cardiac volume changes significantly between frames, and there often exist abrupt pixel value changes along time. In order to effectively sparsify such temporal variations, it is necessary to exploit temporal redundancy along motion trajectories. This paper introduces a novel patch-based reconstruction method to exploit geometric similarities in the spatio-temporal domain. In particular, we use a low rank constraint for similar patches along motion, based on the observation that rank structures are relatively less sensitive to global intensity changes, but make it easier to capture moving edges. A Nash equilibrium formulation with relaxation is employed to guarantee convergence. Experimental results show that the proposed algorithm clearly reconstructs important anatomical structures in cardiac cine image and provides improved image quality compared to existing state-of-the-art methods such as k-t FOCUSS, k-t SLR, and MASTeR. SN - 1558-254X UR - https://www.unboundmedicine.com/medline/citation/24951686/Motion_adaptive_patch_based_low_rank_approach_for_compressed_sensing_cardiac_cine_MRI_ L2 - https://dx.doi.org/10.1109/TMI.2014.2330426 DB - PRIME DP - Unbound Medicine ER -