A multilevel adaptive finite element algorithm for bioluminescence tomography
A multilevel adaptive finite element algorithm for bioluminescence tomography
复制标题
生物发光层析成像的多级自适应有限元算法
DOI：
10.1364/oe.14.008211
复制
发表时间：
2006-09-04
期刊：
影响因子：
3.8
通讯作者：
Li, Hui
中科院分区：
文献类型：
--
作者：
Lv, Yujie;Tian, Jie;Li, Hui
生物发光层析成像（BLT）作为一种新型的分子成像方式，在过去的两年里已经成为一个热门的话题。本文提出了一种用于BLT重建的多层次自适应有限元算法。该算法根据后验误差估计对网格进行自适应细化，既提高了源的定位和量化，又提高了重构的鲁棒性和效率。在数值模拟中，我们在分子光学模拟环境（MOSE）中合成了异质体表面的生物发光信号，该环境通过蒙特卡罗模拟模拟了光子传输。在单声源和多声源不同布置的数值试验中，对该算法的性能进行了评价。结果表明了多层自适应方法的优点和潜力。(c) 2006年美国光学学会。
As a new mode of molecular imaging, bioluminescence tomography (BLT) has become a hot topic over the past two years. In this paper, a multilevel adaptive finite element algorithm is developed for BLT reconstruction. In this algorithm, the mesh is adaptively refined according to a posteriori error estimation, which helps not only to improve localization and quantification of sources but also to enhance the robustness and efficiency of reconstruction. In the numerical simulation, bioluminescent signals on the body surface of a heterogeneous phantom are synthesized in a molecular optical simulation environment (MOSE) that we developed to model the photon transportation via Monte Carlo simulation. The performance of the algorithm is evaluated in numerical tests involving single and multiple sources in various arrangements. The results demonstrate the merits and potential of the multilevel adaptive approach for BLT. (c) 2006 Optical Society of America.