Han Weimin, Cong Wenxiang, Kazmi Kamran, Wang Ge
Department of Mathematics, University of Iowa, Iowa City, IA 52242, U.S.A.
Commun Numer Methods Eng. 2009 Jun;25(6):639-656. doi: 10.1002/cnm.1163.
While diffuse optical tomography (DOT) has been studied for years, bioluminescence tomography (BLT) is emerging as a promising optical molecular imaging tool. These two modalities have different goals. DOT is for reconstruction of optical parameters of a medium such as a breast from surface measurements induced by external sources. BLT is for reconstruction of a bioluminescent source distribution in a medium such as a mouse from surface measurements induced by internal bioluminescent sources. However, an important pre-requisite for BLT reconstruction is the knowledge on the distribution of optical parameters within the medium, which is the output of DOT. In this paper, we propose a mathematical model integrating BLT and DOT at the fundamental level; that is, performing the two types of reconstructions simultaneously instead of doing them sequentially. The model is introduced through minimizing the difference between predicted quantities and boundary measurements, as well as incorporating regularization terms. Then, we show the solution existence, introduce numerical schemes and prove convergence of the numerical solution. We also present numerical results to illustrate the utility of our approach.
虽然扩散光学层析成像(DOT)已经研究多年,但生物发光层析成像(BLT)正成为一种有前景的光学分子成像工具。这两种成像方式有不同的目标。DOT用于从外部光源引起的表面测量重建诸如乳房等介质的光学参数。BLT用于从内部生物发光源引起的表面测量重建诸如小鼠等介质中的生物发光源分布。然而,BLT重建的一个重要前提是了解介质内光学参数的分布,而这正是DOT的输出结果。在本文中,我们在基础层面提出了一个整合BLT和DOT的数学模型;也就是说,同时进行这两种类型的重建,而不是依次进行。该模型通过最小化预测量与边界测量之间的差异以及纳入正则化项来引入。然后,我们证明了解的存在性,介绍了数值方案并证明了数值解的收敛性。我们还给出了数值结果以说明我们方法的实用性。