CONFERENCE PROCEEDINGS
Advanced Search
Home > Journals > J. Biomed. Opt. > Volume 21 > Issue 7 > Article
Open Access
18 July 2016 High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis
Jing Meng, Zibo Jiang, Lihong V. Wang, Jongin Park, Chulhong Kim, Mingjian Sun, Yuanke Zhang, Liang Song
Author Affiliations +
Journal of Biomedical Optics, Vol. 21, Issue 7, 076007 (July 2016). https://doi.org/10.1117/1.JBO.21.7.076007
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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2016/$25.00 © 2016 SPIE
Citation Download Citation
Jing Meng, Zibo Jiang, Lihong V. Wang, Jongin Park, Chulhong Kim, Mingjian Sun, Yuanke Zhang, and 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
Published: 18 July 2016
JOURNAL ARTICLE
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Lens.org Logo
CITATIONS
Cited by 21 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Principal component analysis
Photoacoustic tomography
Transducers
Image restoration
Data acquisition
CT reconstruction
Photoacoustic spectroscopy
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top