Compressed sensing in photoacoustic tomography in vivo

被引：141

作者：

Guo, Zijian ^{[1
]}

Li, Changhui ^{[1
]}

Song, Liang ^{[1
]}

Wang, Lihong V. ^{[1
]}

机构：

[1] Washington Univ, Dept Biomed Engn, Opt Imaging Lab, St Louis, MO 63130 USA

来源：

JOURNAL OF BIOMEDICAL OPTICS | 2010年 / 15卷 / 02期

关键词：

photoacoustic imaging; computed tomography; compressed sensing; conjugate gradient descent algorithm; THERMOACOUSTIC COMPUTED-TOMOGRAPHY; FREQUENCY-DOMAIN RECONSTRUCTION; MICROSCOPY; PROJECTION; ALGORITHM; BLOOD;

D O I：

10.1117/1.3381187

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the laser repetition rate and the number of parallel ultrasound detecting channels. Reconstructing an image with fewer measurements can effectively accelerate the data acquisition and reduce the system cost. We adapt compressed sensing (CS) for the reconstruction in PACT. CS-based PACT is implemented as a nonlinear conjugate gradient descent algorithm and tested with both phantom and in vivo experiments. (C) 2010 society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3381187]

引用

页数：6

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