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Proceedings Paper

Monte Carlo simulation of measuring capillary blood flow with diffused light correlation
Author(s): Xiqin Zhang; Lijun Xu; Ying Liu; Yeo Joon Hock
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Paper Abstract

The velocity of capillary blood flow is an important parameter to diagnose some diseases. In this paper, a model was set up to non-invasively measure the capillary blood flow using diffusing temporal light auto-correlation. This method is independent of the direction of blood flow. The distance between the light source and the detector was discussed in order to obtain high SNR (signal to noise ratio). The influences of the Brownian motion and the random flow of scatterers on the auto-correlation of diffusing light were analyzed with Monte Carlo simulation. The simulation results show that the characteristic correlation time exponentially decays as the mean-squared velocity of capillary blood flow increases, which is useful for medical diagnosis.

Paper Details

Date Published: 12 September 2002
PDF: 6 pages
Proc. SPIE 4916, Optics in Health Care and Biomedical Optics: Diagnostics and Treatment, (12 September 2002); doi: 10.1117/12.482985
Show Author Affiliations
Xiqin Zhang, Nanyang Technological Univ. (Singapore)
Lijun Xu, Nanyang Technological Univ. (Singapore)
Ying Liu, Tianjin Univ. (China)
Yeo Joon Hock, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 4916:
Optics in Health Care and Biomedical Optics: Diagnostics and Treatment
Britton Chance; Mingzhe Chen; Gilwon Yoon, Editor(s)

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