Chinese Journal of Lasers, Volume. 47, Issue 9, 907003(2020)

Algorithm for Three-Dimensional Enhancement of Blood Vessels in Photoacoustic Endoscopic In Vivo Imaging

Li Chao1,2, Sun Mingjian1,3, Ma Liyong1, Shen Yi3, Lin Riqiang2, and Gong Xiaojing2
Author Affiliations
  • 1School of Information Science and Engineering, Harbin Institute of Technology (Weihai),Weihai, Shandong 264209, China
  • 2Research Lab for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology,Chinese Academy of Science, Shenzhen, Guangdong 518055, China
  • 3School of Astronautics, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
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    Gastrointestinal tumors are one of the most common types of tumors. Emerging photoacoustic imaging technology can sharply capture the information of the nourishing blood vessels surrounding the tumors, which may give potential contributions to accurate clinical diagnosis. The matched vessel enhancement algorithm can effectively highlight the vessel network. However, the detection angle of in vivo photoacoustic endoscopic imaging is limited, which results in obvious vascular structure abnormalities. It is difficult for current enhancement algorithms to effectively enhance blood vessels. Therefore, a three-dimensional vascular enhancement algorithm was developed in this investigation that fuses the information on structure and intensity of the colorectal vessel of rats, based on a self-designed endoscopic photoacoustic imaging system. The results indicate that this algorithm can effectively improve the imaging effect, suppress edge burrs brought about by mechanical vibration, and obtain in vivo high-quality three-dimensional images of the colorectal vessel, indicating that it has potential value in basic medical research and clinical applications.

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    Li Chao, Sun Mingjian, Ma Liyong, Shen Yi, Lin Riqiang, Gong Xiaojing. Algorithm for Three-Dimensional Enhancement of Blood Vessels in Photoacoustic Endoscopic In Vivo Imaging[J]. Chinese Journal of Lasers, 2020, 47(9): 907003

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    Paper Information

    Category: biomedical photonics and laser medicine

    Received: Mar. 23, 2020

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email:

    DOI:10.3788/CJL202047.0907003

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