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High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis

Meng, Jing and Jiang, Zibo and Wang, Lihong V. and Park, Jongin and Kim, Chulhong and Sun, Mingjian and Zhang, Yuanke and Song, Liang (2016) High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis. Journal of Biomedical Optics, 21 (7). Art. No. 076007. ISSN 1083-3668. http://resolver.caltech.edu/CaltechAUTHORS:20180905-161844995

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Abstract

Photoacoustic computed tomography (PACT) has emerged as a unique and promising technology for multiscale biomedical imaging. To fully realize its potential for various preclinical and clinical applications, development of systems with high imaging speed, reasonable cost, and manageable data flow are needed. Sparse-sampling PACT with advanced reconstruction algorithms, such as compressed-sensing reconstruction, has shown potential as a solution to this challenge. However, most such algorithms require iterative reconstruction and thus intense computation, which may lead to excessively long image reconstruction times. Here, we developed a principal component analysis (PCA)-based PACT (PCA-PACT) that can rapidly reconstruct high-quality, three-dimensional (3-D) PACT images with sparsely sampled data without requiring an iterative process. In vivo images of the vasculature of a human hand were obtained, thus validating the PCA-PACT method. The results showed that, compared with the back-projection (BP) method, PCA-PACT required ∼50% fewer measurements and ∼40% less time for image reconstruction, and the imaging quality was almost the same as that for BP with full sampling. In addition, compared with compressed sensing-based PACT, PCA-PACT had approximately sevenfold faster imaging speed with higher imaging accuracy. This work suggests a promising approach for low-cost, 3-D, rapid PACT for various biomedical applications.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/1.JBO.21.7.076007DOIArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2016 Society of Photo-Optical Instrumentation Engineers. Paper 160179RR received Mar. 21, 2016; accepted for publication Jul. 1, 2016; published online Jul. 18, 2016. This work was supported in part by the National Natural Science Foundation of China Grants Nos. 61308116, 61205203, 61201307, and 61572283, the China-ROK joint research program (NRF-2013K1A3A1A20046921), the International Science and Technology Cooperation Program of China (MOST) Grant No. 2014DFG32800, the Award Foundation Project of Excellent Young scientists in Shandong Province (BS2014DX005), and the Opening Project of Key Lab of Health Informatics of Chinese Academy of Sciences.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China61308116
National Natural Science Foundation of China61205203
National Natural Science Foundation of China61201307
National Natural Science Foundation of China61572283
China-ROK Joint Research Program2013K1A3A1A20046921
Ministry of Science and Technology (China)2014DFG32800
Award Foundation Project of Excellent Young scientists in Shandong ProvinceBS2014DX005
Chinese Academy of SciencesUNSPECIFIED
Subject Keywords:photoacoustic imaging; photoacoustic computed tomography; ultrasonic array; principal component analysis
Record Number:CaltechAUTHORS:20180905-161844995
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180905-161844995
Official Citation:Jing Meng, Jing Meng, Zibo Jiang, Zibo Jiang, Lihong V. Wang, Lihong V. Wang, Jongin Park, Jongin Park, Chulhong Kim, Chulhong Kim, Mingjian Sun, Mingjian Sun, Yuanke Zhang, Yuanke Zhang, Liang Song, Liang Song, } "High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis," Journal of Biomedical Optics 21(7), 076007 (18 July 2016). https://doi.org/10.1117/1.JBO.21.7.076007
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:89406
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:06 Sep 2018 16:37
Last Modified:06 Sep 2018 16:37

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