Compressed-sensing photoacoustic computed tomography in vivo with partially known support

被引：72

作者：

Meng, Jing ^{[1
,3
]}

Wang, Lihong V. ^{[2
]}

Ying, Leslie ^{[4
,5
]}

Liang, Dong ^{[1
]}

Song, Liang ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Inst Biomed & Hlth Engn, Shenzhen 518055, Peoples R China

[2] Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA

[3] Qufu Normal Univ, Coll Comp Sci, Donggang 276826, Rizhao, Peoples R China

[4] SUNY Buffalo, Dept Biomed Engn, Buffalo, NY 14260 USA

[5] SUNY Buffalo, Dept Elect Engn, Buffalo, NY 14260 USA

来源：

OPTICS EXPRESS | 2012年 / 20卷 / 15期

基金：

中国国家自然科学基金;

关键词：

HIGH-RESOLUTION; RECONSTRUCTION; MICROSCOPY;

D O I：

10.1364/OE.20.016510

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Compressed sensing (CS) can recover sparse signals from under-sampled measurements. In this work, we have developed an advanced CS framework for photoacoustic computed tomography (PACT). During the reconstruction, a small part of the nonzero signals' locations in the transformed sparse domain is used as partially known support (PKS). PACT reconstructions have been performed with under-sampled in vivo image data of human hands and a rat. Compared to PACT with basic CS, PACT with CS-PKS can recover signals using fewer ultrasonic transducer elements and can improve convergence speed, which may ultimately enable high-speed, low-cost PACT for various biomedical applications. (C) 2012 Optical Society of America

引用

页码：16510 / 16523

页数：14

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