Simulation of Reflectance in Oral Tissue Using MCMatlab

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Introduction

Clinical Motivation

Problem Statement

Background

Previous Work

Optical Tissue Properties in the Literature

Tissue Layer μa [cm⁻¹] 420 nm μs [cm⁻¹] 420 nm μa [cm⁻¹] 450 nm μs [cm⁻¹] 450 nm
Superficial epithelium 3.0 170 (keratinized) / 55 (non keratinized) 2.1 140 (keratinized) / 40 (non keratinized)
Intermediate epithelium 3.0 55 2.1 40
Basal epithelium 3.0 55 2.1 40
Superficial stroma 6.22 267 3.11 248.5
Deep stroma 6.22 267 3.11 248.5
Blood 262 37.8 30 31.1

Methods

Monte Carlo Simulation Principle

(a) Definition of the geometric domain (b) Random point generation, classification, and counting
Figure 1: Basic Monte Carlo simulation to compute π

Monte Carlo Simulation for Light Propagation

(a) Launching a photon packet (b) Straight-line propagation over a free path (c) Interaction event (d) Updating the Photon Weight
Figure 2: Monte Carlo simulation for light

Monte Carlo Matlab

Five Layer Model and Geometry

Results

Comparison Between Keratinized and Non-Keratinized Tissues

Fluence Results

Fluence Distribution

Fluence Distribution
Figure 3: Fluence comparison between keratinized and non-keratinized tissue

Absorbance Results

Absorbance Distribution
Figure 4: Absorbance comparison between keratinized and non-keratinized tissue

Reflectance Results

Reflectance Distribution
Figure 5: Reflectance comparison between keratinized and non-keratinized tissue

Influence of Blood Depth on the Optical Response

Fluence Results

Absorbance Results

Reflectance Results

Discussion and Conclusions

Appendix

Our code can be found at (Github link).