蒙特卡罗方法
光学
光子
加权
采样(信号处理)
空间频率
成像体模
辐射传输
频域
傅里叶变换
散射
材料科学
物理
计算机科学
数学
统计
声学
量子力学
探测器
计算机视觉
作者
Carole K. Hayakawa,Kavon Karrobi,Vivian Pera,Darren Roblyer,Vasan Venugopalan
标识
DOI:10.1117/1.jbo.24.7.071603
摘要
We present a Monte Carlo (MC) method to determine depth-dependent probability distributions of photon visitation and detection for optical reflectance measurements performed in the spatial frequency domain (SFD). These distributions are formed using an MC simulation for radiative transport that utilizes a photon packet weighting procedure consistent with the two-dimensional spatial Fourier transform of the radiative transport equation. This method enables the development of quantitative metrics for SFD optical sampling depth in layered tissue and its dependence on both tissue optical properties and spatial frequency. We validate the computed depth-dependent probability distributions using SFD measurements in a layered phantom system with a highly scattering top layer of variable thickness supported by a highly absorbing base layer. We utilize our method to establish the spatial frequency-dependent optical sampling depth for a number of tissue types and also provide a general tool to determine such depths for tissues of arbitrary optical properties.
科研通智能强力驱动
Strongly Powered by AbleSci AI