title: High-speed, sparse-sampling three-dimensional photoacoustic computed tomography in vivo based on principal component analysis.
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.
authors.affiliation: Qufu Normal University, School of Information Science and Engineering & Institute of Network Computing, 80 Yantai Road North, Rizhao 276826, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Meng
authors.affiliation: Qufu Normal University, School of Information Science and Engineering & Institute of Network Computing, 80 Yantai Road North, Rizhao 276826, China.
authors.forename: Zibo
authors.initials: Z
authors.lastname: Jiang
authors.affiliation: Washington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, One Brookings Drive, St. Louis, Missouri 63130, United States.
authors.forename: Lihong V
authors.initials: LV
authors.lastname: Wang
authors.affiliation: 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.
authors.forename: Jongin
authors.initials: J
authors.lastname: Park
authors.affiliation: 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.
authors.forename: Chulhong
authors.initials: C
authors.lastname: Kim
authors.affiliation: Harbin Institute of Technology, Department of Control Science and Engineering, 92 West Dazhi Street, Nan Gang District, Harbin 150001, China.
authors.forename: Mingjian
authors.initials: M
authors.lastname: Sun
authors.affiliation: Qufu Normal University, School of Information Science and Engineering & Institute of Network Computing, 80 Yantai Road North, Rizhao 276826, China.
authors.forename: Yuanke
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China.
authors.forename: Liang
authors.initials: L
authors.lastname: Song
mesh_terms: D003952:Diagnostic Imaging / Q000295:instrumentation* / Q000379:methods*; D006801:Humans; D019047:Phantoms, Imaging; D061088:Photoacoustic Techniques; D025341:Principal Component Analysis; D014054:Tomography