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Frequency-domain inverse Monte Carlo simulation for the diagnosis of the early cervical cancer based on NIR diffuse measurement

机译:基于NIR漫射测量的频域逆蒙特卡罗模拟诊断早期宫颈癌

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This article aims at the optical parameter reconstruction technology for the frequency- domain measurement of near-infrared diffused light. For mimicking the cervix, a cylindrical model with hole in the middle is used in the simulation and experiments. Concerning the structure of the cervix, Monte-Carlo simulation is adopted for describing the photon migration in tissue and Perturbation Monte-Carlo is used for the reconstruction of the optical properties of cervix. The difficulties in the reconstruction of cervical optical properties with frequency domain measurement are the description of the tissue boundary, expression of the frequency-domain signal, and development of rapid reconstruction method for clinical use. To get the frequency domain signal in Monte Carlos simulation, discrete Fourier transformation of the photon migration history in time-domain is employed. By combining the perturbation Monte-Carlo simulation and the LM optimization technology, a rapid reconstruction algorithm is constructed, by which only one Monte-Carlo simulation is needed. The reconstruction method is validated by simulation and experiments on solid phantom. Simulation results show that the inaccuracy in reconstruction of absorption coefficient is less than 3% for a certain range of optical properties. The algorithm is also proved to be robust to the initial guess of optical properties and noise. Experimental results showed that the absorption coefficient can be reconstructed with inaccuracy of less than 10%. The absorption coefficient reconstruction for one set of measurement data can be fulfilled within one minute.
机译:本文旨在实现近红外扩散光的频域测量光学参数重建技术。为了模仿子宫颈,在模拟和实验中使用中间孔的圆柱形模型。关于子宫颈的结构,采用Monte-Carlo模拟来描述组织中的光子迁移和扰动Monte-Carlo用于重建子宫颈的光学性质。利用频域测量重建宫颈光学性质的困难是组织边界,频率域信号的表达以及临床使用快速重建方法的发展。为了在蒙特卡洛斯仿真中获取频域信号,采用在时间域中的光子迁移历史的离散傅里叶变换。通过组合扰动Monte-Carlo仿真和LM优化技术,构造了一种快速的重建算法,通过该算法仅需要一个Monte-Carlo仿真。通过仿真和实验验证重建方法。仿真结果表明,对于一定范围的光学性质,吸收系数重建的不准确性小于3%。该算法还被证明是对光学性质和噪声的初始猜测的鲁棒。实验结果表明,吸收系数可以以不准确的程度重建为小于10%。一组测量数据的吸收系数重建可以在一分钟内实现。

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