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A Parallel Reconstruction Scheme in Fluorescence Tomography Based on Contrast of Independent Inversed Absorption Properties

机译:基于独立逆吸收特性对比的荧光层析成像并行重建方案

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摘要

Based on an independent forward model in fluorescent tomography, a parallel reconstructed scheme for inhomogeneous mediums with unknown absorption property is proposed in this paper. The method considers the two diffusion equations as separately describing the propagation of excited light in tissues with and without fluorescent probes inside. Then the concentration of fluorophores is obtained directly through the difference between two estimations of absorption coefficient which can be parallel inversed. In this way, the multiparameter estimation problem in fluorescent tomography is transformed into two independent single-coefficient determined schemes of diffusion optical tomography (DOT). Any algorithms proved to be efficient and effective in DOT can be directly applied here. In this study the absorption property is estimated from the independent diffusion equations by a gradient-based optimization method with finite element method (FEM) solving the forward model. Simulation results of three representative occasions show that the reconstructed method can well estimate fluorescent property and tissue absorption distribution.
机译:基于荧光层析成像中的独立正向模型,针对吸收特性未知的非均匀介质,提出了一种并行重构方案。该方法将两个扩散方程视为分别描述了内部和不内部装有荧光探针的组织​​中激发光的传播。然后,可以通过两个吸收系数的估计值之间的差直接求出荧光团的浓度,该估计值可以平行求逆。以此方式,将荧光层析成像中的多参数估计问题转化为扩散光学层析成像(DOT)的两个独立的单系数确定方案。任何在DOT中证明有效的算法都可以直接应用于此处。在这项研究中,通过基于梯度的优化方法和有限元方法(FEM)解决前向模型,从独立的扩散方程估算吸收性能。三种典型情况的仿真结果表明,该重构方法能够很好地估计荧光性质和组织吸收分布。

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