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Layer-stripping approach for recovery of scattering media from time-resolved data

机译:分层方法从时间分辨数据中恢复散射介质

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Abstract: This paper studies the reconstruction of the absorptionproperties of a dense scattering medium fromtime-resolved data. A Progressive Expansion (PE)Algorithm, similar to a layer-stripping approach, hasbeen developed. The method progressively evaluatesincreasing depths within the medium by successivelyconsidering signals entering the detector at increasingtime following an incident pulse. In order to reducethe propagation of reconstruction errors occurring atshallower depths, an overlapping scheme is introducedwhich uses readings from several consecutive timeintervals in the reconstruction. In each overlappingtime interval, the region under consideration is solvedusing a perturbation approach recently described by ourgroup. The proposed algorithm is applied to severalinhomogeneous media containing simple structures. Twosets of data have been tested: one calculated accordingto the perturbation model; and the other by Monte Carlosimulations. The results show that the PE method, whencombined with proper overlapping, can make effectiveuse of the time-resolved data. Compared to our previousresults with steady-state data, the present methods canprobe deeper below the surface and produce a moreaccurate estimate.!22
机译:摘要:本文从时间分辨数据研究了稠密散射介质的吸收特性的重建。已经开发了类似于分层剥离方法的渐进扩展(PE)算法。该方法通过在入射脉冲之后的增加时间连续考虑进入检测器的信号来逐步评估介质内的增加深度。为了减少在较浅深度发生的重构误差的传播,引入了一种重叠方案,该方案使用来自几个连续时间间隔的读数进行重构。在每个重叠时间间隔中,我们小组最近使用扰动方法解决了所考虑的区域。将该算法应用于包含简单结构的几种非均质介质。测试了两组数据:一组是根据扰动模型计算的;另一组是根据扰动模型计算的。另一个由Monte Carlosimulations提供。结果表明,PE方法与适当的重叠相结合,可以有效利用时间分辨数据。与我们以前的稳态数据结果相比,本方法可以探测到更深的表面并产生更准确的估计值!22

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