Lam S, Lesage F, Intes X
Opt Express. 2005 Apr 4;13(7):2263-75. doi: 10.1364/opex.13.002263.
Light propagation in tissue is known to be favored in the Near Infrared spectral range. Capitalizing on this fact, new classes of molecular contrast agents are engineered to fluoresce in the Near Infrared. The potential of these new agents is vast as it allows tracking non-invasively and quantitatively specific molecular events in-vivo. However, to monitor the bio-distribution of such compounds in thick tissue proper physical models of light propagation are necessary. To recover 3D concentrations of the compound distribution, it is necessary to perform a model based inverse problem: Diffuse Optical Tomography. In this work, we focus on Fluorescent Diffuse Optical Tomography expressed within the normalized Born approach. More precisely, we investigate the performance of Fluorescent Diffuse Optical Tomography in the case of time resolved measurements. The different moments of the time point spread function were analytically derived to construct the forward model. The derivation was performed from the zero order moment to the second order moment. This new forward model approach was validated with simulations based on relevant configurations. Enhanced performance of Fluorescent Diffuse Optical Tomography was achieved using these new analytical solutions when compared to the current formulations.
众所周知,光在组织中的传播在近红外光谱范围内更为有利。基于这一事实,新型分子造影剂被设计为在近红外区域发出荧光。这些新型造影剂的潜力巨大,因为它允许在体内对特定分子事件进行非侵入性和定量追踪。然而,要监测此类化合物在厚组织中的生物分布,光传播的适当物理模型是必要的。为了恢复化合物分布的三维浓度,有必要进行基于模型的反问题:漫射光学层析成像。在这项工作中,我们专注于归一化玻恩方法中表示的荧光漫射光学层析成像。更确切地说,我们研究了时间分辨测量情况下荧光漫射光学层析成像的性能。通过解析推导时间点扩散函数的不同矩来构建正向模型。推导从零阶矩到二阶矩进行。这种新的正向模型方法通过基于相关配置的模拟得到了验证。与当前公式相比,使用这些新的解析解实现了荧光漫射光学层析成像性能的提升。