Fast iterative contourlet thresholding for compressed sensing MRI

被引：18

作者：

Hao, Wangli ^{[1
]}

Li, Jianwu ^{[1
]}

Qu, Xiaobo ^{[2
]}

Dong, Zhengchao ^{[3
,4
]}

机构：

[1] Beijing Inst Technol, Beijing Key Lab Intelligent Informat Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China

[2] Xiamen Univ, Dept Elect Sci, Fujian Prov Key Lab Plasma & Magnet Resonance, Xiamen 361005, Peoples R China

[3] Columbia Univ, Brain Imaging Lab, New York, NY 10032 USA

[4] New York State Psychiat Inst & Hosp, New York, NY 10032 USA

来源：

ELECTRONICS LETTERS | 2013年 / 49卷 / 19期

关键词：

biomedical MRI; image reconstruction; iterative methods; medical image processing; compressed sensing; iterative contourlet thresholding; MRI; sparse transform; fast iterative shrinkage-threshold algorithm; FISTA; magnetic resonance imaging; sparse curve representation; ALGORITHMS;

D O I：

10.1049/el.2013.1483

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Proposed is the use of the contourlet as a sparse transform which is combined with the fast iterative shrinkage/threshold algorithm (FISTA) for compressed sensing magnetic resonance imaging reconstruction. The proposed method not only inherits the simplicity and effectiveness of the original FISTA but also has the sparse curve representation ability of the contourlet. Simulation results validate the superior performance of the proposed method in terms of reconstruction accuracy and computation time.

引用

页码：1206 / +

页数：3

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