Journal of Innovative Optical Health Sciences, Volume. 10, Issue 4, 1730005(2017)

Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues

Yujiao Shi1...2,*, Fen Yang1,2, and Qian Wang12 |Show fewer author(s)
Author Affiliations
  • 1Ministry of Education Key Laboratory of Laser Life Science, College of Biophotonics, South China, Normal University Guangzhou, 510631, P. R. China
  • 2Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China
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    Since changes in mechanical properties of biological tissues are often closely related to pathology, the viscoelastic properties are important physical parameters for medical diagnosis. A photoacoustic (PA) phase-resolved method for noninvasively characterizing the biological tissue viscoelasticity has been proposed by Gao et al. [G. Gao, S. Yang, D. Xing, “Viscoelasticity imaging of biological tissues with phase-resolved photoacoustic measurement,” Opt. Lett. 36, 3341–3343 (2011)]. The mathematical relationship between the PA phase delay and the viscosity–elasticity ratio has been theoretically deduced. Moreover, systems of PA viscoelasticity (PAVE) imaging including PAVE microscopy and PAVE endoscopy were developed, and high-PA-phase contrast images reflecting the tissue viscoelasticity information have been successfully achieved. The PAVE method has been developed in tumor detection, atherosclerosis characterization and related vascular endoscopy. We reviewed the development of the PAVE technique and its applications in biomedical fields. It is believed that PAVE imaging is of great potential in both biomedical applications and clinical studies.

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    Yujiao Shi, Fen Yang, Qian Wang. Photoacoustic viscoelasticity imaging dedicated to mechanical characterization of biological tissues[J]. Journal of Innovative Optical Health Sciences, 2017, 10(4): 1730005

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    Paper Information

    Received: Feb. 28, 2017

    Accepted: May. 9, 2017

    Published Online: Dec. 27, 2018

    The Author Email: Shi Yujiao (shiyuj@scnu.edu.cn)

    DOI:10.1142/s1793545817300051

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