Monte Carlo simulation of measuring capillary blood flow with diffused light correlation

Xiqin Zhang; Lijun Xu; Ying Liu; Yeo Joon Hock

doi:10.1117/12.482985

12 September 2002 Monte Carlo simulation of measuring capillary blood flow with diffused light correlation

Xiqin Zhang, Lijun Xu, Ying Liu, Yeo Joon Hock

Proceedings Volume 4916, Optics in Health Care and Biomedical Optics: Diagnostics and Treatment; (2002) https://doi.org/10.1117/12.482985
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Xiqin Zhang, Lijun Xu, Ying Liu, and Yeo Joon Hock "Monte Carlo simulation of measuring capillary blood flow with diffused light correlation", Proc. SPIE 4916, Optics in Health Care and Biomedical Optics: Diagnostics and Treatment, (12 September 2002); https://doi.org/10.1117/12.482985

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KEYWORDS

Photons

Blood circulation

Monte Carlo methods

Capillaries

Light scattering

Scattering

Signal to noise ratio

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