Cong Wenxiang, Wang Ge, Kumar Durairaj, Liu Yi, Jiang Ming, Wang Lihong, Hoffman Eric, McLennan Geoffrey, McCray Paul, Zabner Joseph, Cong Alexander
Opt Express. 2005 Sep 5;13(18):6756-71. doi: 10.1364/opex.13.006756.
Bioluminescence tomography (BLT) is used to localize and quantify bioluminescent sources in a small living animal. By advancing bioluminescent imaging to a tomographic framework, it helps to diagnose diseases, monitor therapies and facilitate drug development. In this paper, we establish a direct linear relationship between measured surface photon density and an unknown bioluminescence source distribution by using a finite-element method based on the diffusion approximation to the photon propagation in biological tissue. We develop a novel reconstruction algorithm to recover the source distribution. This algorithm incorporates a priori knowledge to define the permissible source region in order to enhance numerical stability and efficiency. Simulations with a numerical mouse chest phantom demonstrate the feasibility of the proposed BLT algorithm and reveal its performance in terms of source location, density, and robustness against noise. Lastly, BLT experiments are performed to identify the location and power of two light sources in a physical mouse chest phantom.
生物发光断层扫描（BLT）用于在小型活体动物中定位和量化生物发光源。通过将生物发光成像推进到断层扫描框架，它有助于疾病诊断、治疗监测并促进药物开发。在本文中，我们基于光子在生物组织中传播的扩散近似，使用有限元方法建立了测量的表面光子密度与未知生物发光源分布之间的直接线性关系。我们开发了一种新颖的重建算法来恢复源分布。该算法纳入先验知识来定义允许的源区域，以提高数值稳定性和效率。使用数字小鼠胸部模型进行的模拟证明了所提出的BLT算法的可行性，并揭示了其在源定位、密度以及抗噪声鲁棒性方面的性能。最后，进行了BLT实验以确定物理小鼠胸部模型中两个光源的位置和功率。
