介观时间分辨荧光分子层析成像的时间点扩展函数和灵敏度函数的蒙特卡罗建模

IF 1.1 Q4 OPTICS Computer Optics Pub Date : 2023-10-01 DOI:10.18287/2412-6179-co-1295
S.I. Samarin, A.B. Konovalov, V.V. Vlasov, I.D. Solovyev, A.P. Savitsky, V.V. Tuchin
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引用次数: 0

摘要

本文描述了一个TurbidMC代码,该代码实现了微扰蒙特卡罗方法来模拟时间分辨荧光分子层析成像(FMT)的时间点扩展函数和灵敏度函数。该代码旨在使用先前发表的特定FMT方法(参考文献[22]),该方法定义了灵敏度函数计算的特异性。该方法首先求解广义荧光参数分布函数的反问题,然后分别计算荧光团吸收系数和荧光寿命的分布。通过比较测试计算的荧光时间点扩展函数和实验数据,验证了代码的正确操作,实验数据是用介观反射机制中的三通道探针扫描具有荧光团的幻影。给出了一个重建荧光参数分布的例子。结果表明,灵敏度函数的计算是正确的。
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Monte Carlo modeling of temporal point spread functions and sensitivity functions for mesoscopic time-resolved fluorescence molecular tomography
The paper describes a TurbidMC code that implements a perturbative Monte Carlo method to model temporal point spread functions and sensitivity functions for time-resolved fluorescence molecular tomography (FMT). The code is aimed at working with a particular FMT method published earlier (Ref. [22]) which defines the specificity of sensitivity function calculation. The method solves the inverse problem first for a generalized fluorescence parameter distribution function and then calculates separate distributions for the fluorophore absorption coefficient and the fluorescence lifetime. The proper operation of the code was verified through a comparison between fluorescence temporal point spread functions from test calculations and data from experiments where a phantom with a fluorophore was scanned with a three-channel probe in the mesoscopic reflectance regime. An example is given on the reconstruction of fluorescence parameter distributions. It shows that the sensitivity functions are calculated correctly.
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来源期刊
Computer Optics
Computer Optics OPTICS-
CiteScore
4.20
自引率
10.00%
发文量
73
审稿时长
9 weeks
期刊介绍: The journal is intended for researchers and specialists active in the following research areas: Diffractive Optics; Information Optical Technology; Nanophotonics and Optics of Nanostructures; Image Analysis & Understanding; Information Coding & Security; Earth Remote Sensing Technologies; Hyperspectral Data Analysis; Numerical Methods for Optics and Image Processing; Intelligent Video Analysis. The journal "Computer Optics" has been published since 1987. Published 6 issues per year.
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