Study on Tissue Blood Perfusion Based on Diffuse Correlation Spectroscopy and Red Blood
Cell Movement Patterns
GAO Guoya, LI Weilong, ZHANG Ruizhi, LIU Peijun, GUI Zhiguo, SHANG Yu
State Key Laboratory of Dynamic Measurement Technology Jointly Established by Province and Ministry, North University of
China, Taiyuan Shanxi 030051, China
Abstract：Objective To establish a link between red blood cell motion and tissue perfusion based on the principle of red blood
cells motion, and to explore the physical and physiological significance of measuring blood flow index using diffuse correlation
spectroscopy (DCS). Methods Langevin equation and fluid dynamics were combined to study the motion and stress of red blood cell,
and obtained tissue perfusion characteristics based on their diffusion pattern within the tissue. In the computer simulation, we used
COMSOL finite element software to build a structural model of the microvascular network and obtained the connection between the
mean square displacement and volume increment of particle motion according to the above kinetic law. Results Through theoretical
analysis and simulation verification showed that the motion of red blood cells in micro vessels was not a spontaneous thermal
Brownian motion, but an active diffusion motion dominated by fluid dynamics, and the mean square displacement of particles was
positively and nonlinearly with the volume increment. Conclusion Although the blood flow index measured by DCS is different
from the physiological blood flow unit in the traditional sense, it can characterize the blood flow status of micro vessels in deep tissue
and be used as an indicator to measure tissue perfusion capacity.
高国雅，李为龙，张睿芝，刘培俊，桂志国，尚禹. 基于漫射光相关谱和红细胞运动规律的
组织血流灌注研究[J]. 中国医疗设备, 2023, 38(11): 60-66.
GAO Guoya, LI Weilong, ZHANG Ruizhi, LIU Peijun, GUI Zhiguo, SHANG Yu. Study on Tissue Blood Perfusion Based on Diffuse Correlation Spectroscopy and Red Blood
Cell Movement Patterns. China Medical Devices, 2023, 38(11): 60-66.
