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Generalized mesh-based Monte Carlo for wide-field illumination and detection via mesh retessellation

机译:通用的基于网格的蒙特卡洛(Monte Carlo)用于通过网格细分实现广域照明和检测

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摘要

Monte Carlo methods are commonly used as the gold standard in modeling photon transport through turbid media. With the rapid development of structured light applications, an accurate and efficient method capable of simulating arbitrary illumination patterns and complex detection schemes over large surface area is in great need. Here we report a generalized mesh-based Monte Carlo algorithm to support a variety of wide-field illumination methods, including spatial-frequency-domain imaging (SFDI) patterns and arbitrary 2-D patterns. The extended algorithm can also model wide-field detectors such as a free-space CCD camera. The significantly enhanced flexibility of source and detector modeling is achieved via a fast mesh retessellation process that combines the target domain and the source/detector space in a single tetrahedral mesh. Both simulations of complex domains and comparisons with phantom measurements are included to demonstrate the flexibility, efficiency and accuracy of the extended algorithm. Our updated open-source software is provided at .
机译:蒙特卡罗方法通常用作模拟光子通过混浊介质传输的金标准。随着结构光应用的迅速发展,迫切需要一种能够在大表面积上模拟任意照明模式和复杂检测方案的准确有效的方法。在这里,我们报告了一种基于网格的通用Monte Carlo算法,以支持多种广域照明方法,包括空间频域成像(SFDI)模式和任意2-D模式。扩展算法还可以对诸如自由空间CCD摄像机之类的广域检测器建模。通过快速的网格细分过程将目标域和源/探测器空间合并到一个四面体网格中,可以显着提高源和探测器建模的灵活性。复杂域的仿真以及与幻像测量的比较都包括在内,以证明扩展算法的灵活性,效率和准确性。我们的更新的开源软件位于。

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