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Frequency-domain fluorescent diffusion tomography: a finite-element-based algorithm and simulations

机译:频域荧光扩散层析成像:基于有限元的算法和模拟

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摘要

We present a finite-element-based algorithm for reconstruction of fluorescence lifetime and yield in turbid media, using frequency-domain data. The algorithm is based on a set of coupled diffusion equations that describe the propagation of both excitation and fluorescent emission light in multiply scattering media. Centered on Newton's iterative method, we implemented our algorithm by using a synthesized scheme of Marquardt and Tikhonov regularizations. A low-pass spatial filter is also incorporated into the algorithm for enhancing image reconstruction. Simulation studies using both noise-free and noisy data have been performed with the nonzero photon density boundary conditions. Our results suggest that quantitative images can be produced in terms of fluorescent Lifetime and yield values and location, size, and shape of heterogeneities within a circular background region. (C) 1998 Optical Society of America. [References: 44]
机译:我们提出了一种基于频域数据的基于有限元的算法,用于重建混浊介质中的荧光寿命和产量。该算法基于一组耦合的扩散方程,该方程描述了激发光和荧光发射光在多重散射介质中的传播。围绕牛顿的迭代方法,我们通过使用Marquardt和Tikhonov正则化的综合方案来实现算法。低通空间滤波器也被合并到算法中以增强图像重建。在非零光子密度边界条件下进行了使用无噪声和有噪声数据的模拟研究。我们的结果表明,可以根据荧光寿命和产量值以及圆形背景区域内异质性的位置,大小和形状来生成定量图像。 (C)1998年美国眼镜学会。 [参考:44]

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