Laser Speckle Auto-inverse Covariance for Blood Flow Imaging Текст научной статьи по специальности «Медицинские технологии»

ALT'22

BIOMEDICAL PHOTONICS

B-I-8

Laser Speckle Auto-inverse Covariance for Blood Flow Imaging

Jiachi Hong1, Jinling Lu1, Pengcheng Li1'2

'Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Optics Valley Laboratory-Huazhong University of Science and Technology, Wuhan, 430074, China 2School of Biomedical Engineering, Hainan University, Haikou, 570228, China pengchengli@mail.hust.edu.cn

As a non-contact wide-field imaging technique for measuring the blood flow speed, laser speckle imaging is widely used in clinical diagnosis and therapy. However, several factors affect the accuracy of laser speckle detection of blood flow, such as coherence loss and noise associated with the imaging system, the form of the auto-correlation function of the electric field related to the characteristics of biological tissue, non-ergodic components associated with static scattering, and finite statistical sample size. To realize the quantitative measurement of blood flow speed and improve the robust of the measurement in the practical clinic conditions. The influence of the statistical sample size on the mean of the speckle contrast was deduced by the probabilistic and statistical methods [1]. A method for unbiased estimation of flow velocity in the range of 0.1~30 mm/s was proposed [2]. The influence of the properties of biological tissue and the imaging system on laser speckle auto-inverse covariance was discussed. The quantitative laser speckle auto-inverse co-variance model for imaging blood flow velocity was established and validated in phantom and animal experiments [3].

This work was supported by the National Natural Science Foundation of China (Grant No. 6189095', 61890950, 8'97'659), the National Key Research and Development Program of China (Grant No. 202'YFC2400'02), the Innovation Project of Optics Valley Laboratory (Grant No. 0VL202'BG0'2).

[1] Jiachi Hong, Yang Wang, Xiao Chen, Jingling Lu and Pengcheng Li, Fluctuations of temporal contrast in laser speckle imaging of blood flow, Optics Letters, 2018, 43(21): 5214-5217

[2] Jiachi Hong, Liang Shi, Xuan Zhu, Jinling Lu and Pengcheng Li, Laser speckle auto-inverse covariance imaging for mean-invariant estimation of blood flow, Optics Letters, 2019, 44(23):5812-5815

[3] Jiachi Hong , Xuan Zhu, Jinling Lu and Pengcheng Li, Quantitative laser speckle auto-inverse covariance imaging for robust estimation of blood flow, Optics Letters, 2021, 46(10): 2505-2508