Fast dual-tree wavelet composite splitting algorithms for compressed sensing MRI

Jianwu Li*, Jinpeng Zhou, Qiang Tu, Javaria Ikram, Zhengchao Dong

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

We presented new reconstruction algorithms for compressed sensing magnetic resonance imaging (CS-MRI) based on the combination of the fast composite splitting algorithm (FCSA) and complex dual-tree wavelet transform (DT-CWT) and on the combination of FCSA and double density dual-tree wavelet transform (DDDT-DWT), respectively. We applied the bivariate thresholding to these two combinations. The proposed methods not only inherit the effectiveness and fast convergence of FCSA but also improve the sparse representation of both point-like and curve-like features. Experimental results validate the effectiveness and efficiency of the proposed methods.

源语言英语
主期刊名Neural Information Processing - 23rd International Conference, ICONIP 2016, Proceedings
编辑Kenji Doya, Kazushi Ikeda, Minho Lee, Akira Hirose, Seiichi Ozawa, Derong Liu
出版商Springer Verlag
517-525
页数9
ISBN(印刷版)9783319466866
DOI
出版状态已出版 - 2016
活动23rd International Conference on Neural Information Processing, ICONIP 2016 - Kyoto, 日本
期限: 16 10月 201621 10月 2016

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9947 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议23rd International Conference on Neural Information Processing, ICONIP 2016
国家/地区日本
Kyoto
时期16/10/1621/10/16

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