Classical Monte Carlo (MC) simulations for laser-Doppler flowmetry (LDF) often necessitate too long computation times and specialized hardware. This is particularly true for LDF at large interoptode spacing with low absorption coefficients and large anisotropic factors representing real biological tissues. For this reason, a random numbers free "analytical" implementation of the classical MC (MCan) is proposed. The MCan approach allows to obtain noise exempt LDF spectra in a short time and with a simple personal laptop. The proposed MCan holds for a diffusive regime of light propagation and it is practically implemented for a semi-infinite geometry. Its validity is demonstrated by comparisons with the classical MC.

Random numbers free analytical implementation of Monte Carlo for laser-Doppler flowmetry at large interoptode spacing: application to human bone tissue / Binzoni T.; Martelli F.. - In: APPLIED OPTICS. - ISSN 1559-128X. - ELETTRONICO. - 54:(2015), pp. 2400-2406. [10.1364/AO.54.002400]

Random numbers free analytical implementation of Monte Carlo for laser-Doppler flowmetry at large interoptode spacing: application to human bone tissue

Martelli F.
Supervision
2015

Abstract

Classical Monte Carlo (MC) simulations for laser-Doppler flowmetry (LDF) often necessitate too long computation times and specialized hardware. This is particularly true for LDF at large interoptode spacing with low absorption coefficients and large anisotropic factors representing real biological tissues. For this reason, a random numbers free "analytical" implementation of the classical MC (MCan) is proposed. The MCan approach allows to obtain noise exempt LDF spectra in a short time and with a simple personal laptop. The proposed MCan holds for a diffusive regime of light propagation and it is practically implemented for a semi-infinite geometry. Its validity is demonstrated by comparisons with the classical MC.
2015
54
2400
2406
Goal 3: Good health and well-being for people
Binzoni T.; Martelli F.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1193078
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