Rank-One and Transformed Sparse Decomposition for Dynamic Cardiac MRI.
It is challenging and inspiring for us to achieve high spatiotemporal resolutions in dynamic cardiac magnetic resonance imaging (MRI). In this paper, we introduce two novel models and algorithms to reconstruct dynamic cardiac MRI data from under-sampled k-t space data. In contrast to classical low-r...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 8 |
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| Autores principales: | , |
| Formato: | diagnostic images equations & formulas research Journal Article |
| Publicado: |
Wiley-Blackwell
7/12/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109274768&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109274768 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 7/12/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109274768 109274768 109274768 10.1155/2015/169317 109274768 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Rank-One and Transformed Sparse Decomposition for Dynamic Cardiac MRI. aug: au: Xiu, Xianchao Kong, Lingchen affil: Department of Applied Mathematics, Beijing Jiaotong University, Beijing 100044, China sug: subj: Heart Diseases Diagnosis Magnetic Resonance Imaging Software Design Models, Statistical Computer Simulation ab: It is challenging and inspiring for us to achieve high spatiotemporal resolutions in dynamic cardiac magnetic resonance imaging (MRI). In this paper, we introduce two novel models and algorithms to reconstruct dynamic cardiac MRI data from under-sampled k-t space data. In contrast to classical low-rank and sparse model, we use rank-one and transformed sparse model to exploit the correlations in the dataset. In addition, we propose projected alternative direction method (PADM) and alternative hard thresholding method (AHTM) to solve our proposed models. Numerical experiments of cardiac perfusion and cardiac cine MRI data demonstrate improvement in performance. pubtype: Academic Journal doctype: diagnostic images equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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