A Parallel Adaptive Finite Element Method for the Simulation of Photon Migration with the Radiative-Transfer-Based Model.
A Parallel Adaptive Finite Element Method for the Simulation of Photon Migration with the Radiative-Transfer-Based Model.
复制标题
DOI：
10.1002/cnm.1167
复制
发表时间：
2009
影响因子：
--
通讯作者：
Chatziioannou, Arion F.
中科院分区：
文献类型：
--
作者：
Lu, Yujie;Chatziioannou, Arion F.
关键词：
近年来，用于临床前研究的小鼠全身光学分子成像技术发展迅速。在这种背景下，开发新的光学成像光传播模拟方法是必要的，特别是在重建算法中需要考虑先验知识、大体积域和大范围光学性质时。本文提出了一种简化球面谐波（SPN）近似的三维平行自适应有限元方法来模拟光光子在大体积异质组织中的传播。通过后验并行自适应网格细化和动态网格重划分，显著提高了仿真速度。与扩散方程方法和蒙特卡罗方法相比，SPN方法在异质域具有更好的性能和高阶逼近的必要性。最优求解器的选择和真实小鼠几何的时间成本分析进一步提高了算法的性能，并显示了所提出的并行自适应框架在小鼠全身光学分子成像模型中的优越性。
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 three dimensional parallel adaptive finite element method with simplified spherical harmonics (SPN) approximation to simulate optical photon propagation in large-volumes of heterogenous 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 SPN 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.
登录
查看更多内容
DOI：
10.1364/josaa.11.002727
发表时间：
1994-10-01
影响因子：
1.9
作者：
HASKELL, RC;SVAASAND, LO;TROMBERG, BJ
通讯作者：
TROMBERG, BJ
影响因子：
4.1
作者：
Klose, Alexander D.;Larsen, Edward W.
通讯作者：
Larsen, Edward W.
DOI：
10.1002/nme.1620191103
发表时间：
1983-01-01
影响因子：
2.9
作者：
KELLY, DW;GAGO, JPDR;BABUSKA, I
通讯作者：
BABUSKA, I
影响因子：
3.5
作者：
Chaudhari, AJ;Darvas, F;Leahy, RM
通讯作者：
Leahy, RM
影响因子：
3.8
作者：
Aydin, ED;de Oliveira, CRE;Goddard, AJH
通讯作者：
Goddard, AJH