基于单层蒙特卡罗模型的类脑组织微分程长因子估计

Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model.

作者信息

Chatterjee Subhasri, Phillips Justin P, Kyriacou Panayiotis A

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3279-82. doi: 10.1109/EMBC.2015.7319092.

DOI:10.1109/EMBC.2015.7319092

Abstract

A Monte Carlo simulation-based computational model has been developed for tracing the pathway of light within a single layer of tissue like bloodless human brain. A reflectance mode source-detector geometry is assumed to illuminate the tissue slab with an irradiation of a near infrared wavelength and to detect the re-emitted light intensity. Light is considered to be attenuated within tissue by scattering and absorption. The model has been used to predict the relationship of mean optical path of photons with variable source-detector geometry and thus, to determine a differential pathlength factor (DPF) of 5.66 for incident light of wavelength 810 nm.

摘要

已经开发了一种基于蒙特卡罗模拟的计算模型，用于追踪光在单层组织（如无血的人脑）中的传播路径。假设采用反射模式的源-探测器几何结构，用近红外波长的辐射照射组织平板，并检测重新发射的光强度。光在组织内被散射和吸收而衰减。该模型已用于预测光子平均光程与可变源-探测器几何结构之间的关系，从而确定波长为810nm的入射光的微分程长因子（DPF）为5.66。