Abstract
Light propagation in biological tissues is frequently modeled by the Monte Carlo (MC) method, which requires processing of many photon packets to obtain adequate quality of the observed backscattered signal. The computation times further increase for detection schemes with small acceptance angles and hence small fraction of the collected backscattered photon packets. In this paper, we investigate the use of a virtually increased acceptance angle for efficient MC simulation of spatially resolved reflectance and estimation of optical properties by an inverse model. We devise a robust criterion for approximation of the maximum virtual acceptance angle and evaluate the proposed methodology for a wide range of tissue-like optical properties and various source configurations.
Highlights
Light backscattered from a turbid sample carries an abundance of information on its structure and chemical composition
The proposed methodology assumes that the spatially resolved reflectance (SRR) can be, up to a certain acceptance angle of the detection scheme, sufficiently modeled by a multiplicative factor that is independent of the source detector separation (SDS)
The nominal acceptance angle of the detection scheme can be virtually increased in the Monte Carlo (MC) simulations, which results in a higher fraction of detected backscattered photon packets and shorter computation time
Summary
Light backscattered from a turbid sample carries an abundance of information on its structure and chemical composition. The measured backscattered light can be exploited for noninvasive analysis and characterization of various tissue abnormalities [1,2,3,4,5,6] For this purpose, the backscattered light is frequently captured at multiple source-detector separations (SDSs), which yields the so-called spatially resolved reflectance (SRR), R(r). The backscattered light is frequently captured at multiple source-detector separations (SDSs), which yields the so-called spatially resolved reflectance (SRR), R(r) Such measurements can be conveniently performed by optical fiber probes [7,8,9,10,11,12,13] or imaging systems [14,15,16,17]. The contactless nature of the measurements conducted by imaging systems overcomes the influence of the contact pressure induced by optical fiber probes [19], which can alter the optical properties of the probed sample
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