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A parallel adaptive finite element method for the simulation of photon migration with the radiative-transfer-based model

机译:基于辐射传递模型的光子迁移模拟的并行自适应有限元方法

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Whole-body optical molecular imaging of mouse models in preclinical research is rapidly developing in recent years. In this context, it is essential and necessary to develop novel simulation methods of light propagation for optical imaging, especially when a priori knowledge, large-volume domain and a wide-range of optical properties need to be considered in the reconstruction algorithm. In this paper, we propose a 3D parallel adaptive finite element method with simplified spherical harmonics (SP_N) approximation to simulate optical photon propagation in large volumes of heterogeneous tissues. The simulation speed is significantly improved by a posteriori parallel adaptive mesh refinement and dynamic mesh repartitioning. Compared with the diffusion equation and the Monte Carlo methods, the SP_N method shows improved performance and the necessity of high-order approximation in heterogeneous domains. Optimal solver selection and time-costing analysis in real mouse geometry further improve the performance of the proposed algorithm and show the superiority of the proposed parallel adaptive framework for whole-body optical molecular imaging in murine models.
机译:近年来,临床前研究中的小鼠模型的全身光学分子成像正在迅速发展。在这种情况下,开发用于光学成像的光传播的新型仿真方法是必要且必要的,特别是在重建算法中需要考虑先验知识,大范围域和广泛的光学特性时。在本文中,我们提出了一种具有简化球谐函数(SP_N)近似的3D并行自适应有限元方法,以模拟光子在大量异质组织中的传播。通过后验并行自适应网格细化和动态网格重新划分,极大地提高了仿真速度。与扩散方程和蒙特卡罗方法相比,SP_N方法具有更高的性能,并且在异构域中具有高阶逼近的必要性。真实鼠标几何中的最优求解器选择和时间成本分析进一步改善了所提出算法的性能,并展示了所提出的并行自适应框架对于鼠模型中全身光学分子成像的优越性。

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