Name
Title | ||
|---|---|---|
Motion adaptive patch-based low-rank approach for compressed sensing cardiac cine MRI. |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TMI.2014.2330426 | IEEE Trans. Med. Imaging |
Keywords | DocType | Volume |
overlapped patches,high spatiotemporal resolution imaging,cardiology,global intensity changes,wavelet transforms,proximal mapping,fourier transforms,cine magnetic resonance imaging,image resolution,pixel value changes,temporal variations,patch-based reconstruction method,nash equilibrium formulation,spatiotemporal domain,compressed sensing dynamic magnetic resonance imaging (mri),generalized huber approximation,image reconstruction,multiple object functions,compressed sensing cardiac cine mri,biomedical mri,game theory,compressed sensing,rank penalty,high accelerated cine mri,temporal redundancy,cardiac volume changes,linear transforms,motion trajectories,relaxation,nash equilibrium,patch-based low-rank,improved image quality,medical image processing,motion adaptive patch-based low-rank approach | Journal | 33 |
Issue | ISSN | Citations |
11 | 1558-254X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huisu Yoon | 1 | 1 | 2.08 |
| Kyung Sang Kim | 2 | 22 | 6.56 |
| Daniel Kim | 3 | 0 | 0.34 |
| Yoram Bresler | 4 | 1104 | 119.17 |
| Jong Chul Ye | 5 | 715 | 79.99 |