空间频率域中的光采样深度。
Optical sampling depth in the spatial frequency domain.
机构信息
University of California at Irvine, Department of Chemical Engineering and Materials Science, Irvine, United States.
University of California at Irvine, Beckman Laser Institute, Laser Microbeam and Medical Program, Ir, United States.
出版信息
J Biomed Opt. 2019 Jul;24(7). doi: 10.1117/1.JBO.24.7.071603.
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.
我们提出了一种蒙特卡罗（MC）方法，用于确定在空间频域（SFD）中进行的光反射测量中光子访问和检测的深度相关概率分布。这些分布是使用符合辐射传输二维空间傅里叶变换的光子包加权程序的辐射传输 MC 模拟形成的。该方法能够为分层组织中的 SFD 光学采样深度及其对组织光学特性和空间频率的依赖性开发定量指标。我们使用具有可变厚度的高散射顶层和高吸收底层支撑的分层幻影系统中的 SFD 测量来验证计算出的深度相关概率分布。我们利用我们的方法确定了一些组织类型的空间频率相关光学采样深度，并提供了一个通用工具来确定任意光学特性组织的此类深度。
Zotero 插件