Experimental Validation of Microvasculature Blood Flow Modeling by Diffuse Correlation Spectroscopy

Diffuse correlation spectroscopy (DCS) is an emerging technology to monitor the blood flow at microvasculature level, wherein the flow model is dependent on the movements of red blood cells (RBCs). To elucidate the mechanism of flow model, in this paper, we conducted the phantom experiments to simul...

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 15945 - 15951
Main Authors Zhu, Yanwen, Gui, Zhiguo, Xue, Bing, Shang, Yu
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Blood
Blood flow
Brownian motion
Correlation
Data models
diffuse correlation spectroscopy
Doppler effect
Erythrocytes
Instruments
Mathematical model
Microvasculature blood flow
New technology
phantom experiment
Phantoms
red blood cell
Spectroscopy
Spectrum analysis
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Summary:Diffuse correlation spectroscopy (DCS) is an emerging technology to monitor the blood flow at microvasculature level, wherein the flow model is dependent on the movements of red blood cells (RBCs). To elucidate the mechanism of flow model, in this paper, we conducted the phantom experiments to simulate the blood flow environment in the microvessels. Meanwhile, the light temporal autocorrelation curves were collected by the DCS flowmetry. Through investigating the relationship between the DCS curves and the analytical-solution curves fitted by the three models, we established a hybrid flow model combining the Brownian motion and random ballistic flow. This innovative flow model, when combined with DCS data, will provide realistic blood flow measurements that help early diagnosis and treatment evaluation for a variety of diseases.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2966750