A source reconstruction algorithm based on adaptive hp-FEM for bioluminescence tomography
A source reconstruction algorithm based on adaptive hp-FEM for bioluminescence tomography
复制标题
一种基于自适应hp-FEM的生物发光断层扫描源重建算法。
DOI：
10.1364/oe.17.014481
复制
发表时间：
2009-08-17
期刊：
影响因子：
3.8
通讯作者：
Tian, Jie
中科院分区：
文献类型：
--
作者：
Han, Runqiang;Liang, Jimin;Tian, Jie
生物发光层析成像（BLT）是一种新型的分子成像技术，用于在小动物体内观察和测量细胞和分子水平上的生物过程。BLT的核心问题是通过外表面的光学测量来确定内部生物发光源的分布。本文提出了一种基于自适应hp-有限元法的BLT源重构算法。采用自适应网格细化策略和智能允许源区域，可以获得更准确的源位置和密度信息，提高了鲁棒性、稳定性和效率。通过数值模拟和物理实验验证了算法的性能，其中通过蒙特卡罗模拟和CCD相机检测分别获得了幻影表面的光学数据。结果表明了该算法在BLT源重构中的优点和潜力。
As a novel modality of molecular imaging, bioluminescence tomography (BLT) is used to in vivo observe and measure the biological process at cellular and molecular level in small animals. The core issue of BLT is to determine the distribution of internal bioluminescent sources from optical measurements on external surface. In this paper, a new algorithm is presented for BLT source reconstruction based on adaptive hp-finite element method. Using adaptive mesh refinement strategy and intelligent permissible source region, we can obtain more accurate information about the location and density of sources, with the robustness, stability and efficiency improved. Numerical simulations and physical experiment were both conducted to verify the performance of the proposed algorithm, where the optical data on phantom surface were obtained via Monte Carlo simulation and CCD camera detection, respectively. The results represent the merits and potential of our algorithm for BLT source reconstruction.