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首页> 外文期刊>Medical Physics >Iterative reconstruction method for light emitting sources based on the diffusion equation.
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Iterative reconstruction method for light emitting sources based on the diffusion equation.

机译:基于扩散方程的发光源迭代重建方法。

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Bioluminescent imaging (BLI) of luciferase-expressing cells in live small animals is a powerful technique for investigating tumor growth, metastasis, and specific biological molecular events. Three-dimensional imaging would greatly enhance applications in biomedicine since light emitting cell populations could be unambiguously associated with specific organs or tissues. Any imaging approach must account for the main optical properties of biological tissue because light emission from a distribution of sources at depth is strongly attenuated due to optical absorption and scattering in tissue. Our image reconstruction method for interior sources is based on the deblurring expectation maximization method and takes into account both of these effects. To determine the boundary of the object we use the standard iterative algorithm-maximum likelihood reconstruction method with an external source of diffuse light. Depth-dependent corrections were included in the reconstruction procedure to obtain a quantitativemeasure of light intensity by using the diffusion equation for light transport in semi-infinite turbid media with extrapolated boundary conditions.
机译:活体小动物中荧光素酶表达细胞的生物发光成像(BLI)是研究肿瘤生长,转移和特定生物分子事件的强大技术。三维成像将大大增强在生物医学中的应用,因为发光细胞群可以与特定器官或组织明确相关。任何成像方法都必须考虑生物组织的主要光学特性,因为由于组织中的光吸收和散射,深度分布的光源发出的光会大大衰减。我们用于内部源的图像重建方法基于去模糊期望最大化方法,并考虑了这两种影响。为了确定对象的边界,我们使用标准的迭代算法-最大似然重建方法,并使用外部散射光源。在重建过程中包括依赖深度的校正,以通过使用扩散方程在具有边界条件的半无限浑浊介质中传输光来获得光强的定量度量。

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