Mao Jianing, Ling Yuye, Xue Ping, Su Yikai
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
State Key Laboratory of Low-Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China.
Biomed Opt Express. 2023 Aug 10;14(9):4644-4659. doi: 10.1364/BOE.495489. eCollection 2023 Sep 1.
The Monte Carlo (MC) method is one of the most widely used numerical tools to model the light interaction with tissue. However, due to the low photon collection efficiency and the need to simulate the entire emission spectrum, it is computationally expensive to simulate the full-spectrum backscattered diffuse reflectance (F-BDR). Here, we propose an acceleration scheme based on importance sampling (IS). We derive the biasing sampling function tailored for simulating BDR based on the two-term scattering phase function (TT). The parameters of the TT function at different wavelengths are directly obtained by fitting the Mie scattering phase function. Subsequently, we incorporate the TT function and its corresponding biased function into the redefined IS process and realize the accelerated simulation of F-BDR. Phantom simulations based on the Fourier-domain optical coherence tomography (FD-OCT) are conducted to demonstrate the efficiency of the proposed method. Compared to the original simulator without IS, our proposed method achieves a 373× acceleration in simulating the F-BDR of the multi-layer phantom with a relative mean square error (rMSE) of less than 2%. Besides, by parallelly computing A-lines, our method enables the simulation of an entire B-scan in less than 0.4 hours. To our best knowledge, it is the first time that a volumetric OCT image of a complex phantom is simulated. We believe that the proposed acceleration method can be readily applied to fast simulations of various F-BDR-dependent applications. The source codes of this manuscript are also publicly available online.
蒙特卡罗(MC)方法是模拟光与组织相互作用最广泛使用的数值工具之一。然而,由于光子收集效率低以及需要模拟整个发射光谱,模拟全光谱后向散射漫反射率(F-BDR)的计算成本很高。在此,我们提出一种基于重要性采样(IS)的加速方案。我们基于双项散射相函数(TT)推导了专门用于模拟BDR的偏置采样函数。通过拟合米氏散射相函数直接获得不同波长下TT函数的参数。随后,我们将TT函数及其相应的偏置函数纳入重新定义的IS过程,实现了F-BDR的加速模拟。进行了基于傅里叶域光学相干断层扫描(FD-OCT)的体模模拟,以证明所提方法的效率。与没有IS的原始模拟器相比,我们提出的方法在模拟多层体模的F-BDR时实现了373倍的加速,相对均方误差(rMSE)小于2%。此外,通过并行计算A线,我们的方法能够在不到0.4小时内模拟整个B扫描。据我们所知,这是首次模拟复杂体模的体积OCT图像。我们相信所提出的加速方法可以很容易地应用于各种依赖F-BDR的应用的快速模拟。本文的源代码也在网上公开提供。