Research Papers: Imaging

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

[+] Author Affiliations
Jing Meng, Zibo Jiang, Yuanke Zhang

Qufu Normal University, School of Information Science and Engineering & Institute of Network Computing, 80 Yantai Road North, Rizhao 276826, China

Lihong V. Wang

Washington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States

Jongin Park, Chulhong Kim

Pohang University of Science and Technology, Departments of Electrical Engineering and Creative IT Engineering, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 790-784, Republic of Korea

Mingjian Sun

Harbin Institute of Technology, Department of Control Science and Engineering, 92 West Dazhi Street, Nan Gang District, Harbin 150001, China

Liang Song

Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China

J. Biomed. Opt. 21(7), 076007 (Jul 18, 2016). doi:10.1117/1.JBO.21.7.076007
History: Received March 21, 2016; Accepted July 1, 2016
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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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Jing Meng ; Zibo Jiang ; Lihong V. Wang ; Jongin Park ; Chulhong Kim, et al.
"High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis", J. Biomed. Opt. 21(7), 076007 (Jul 18, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.7.076007


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