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Locating of macro-inhomogeneity in random turbid medium by using artificial neural networks

机译:利用人工神经网络定位随机浑浊介质中的宏观不均匀性

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摘要

Nowadays the artificial neural network (ANN), an effective powerful technique that is able denoting complex input and output relationships, is widely used in different biomedical applications. In present Letter the applying of ANN for the determination of characteristics of random highly scattering medium (like bio-tissue) is considered. Spatial distribution of the backscattered light calculated by Monte Carlo method is used to train ANN for single and multiply scattering regimes. The potential opportunities of use of ANN for image reconstruction of an absorbing macro inhomogeneity located in topical layers of random scattering medium are presented. This is especially of high priority because of new diagnostics/treatment developing that is based on the applying gold nano-particles for labeling cancer cells.
机译:如今,人工神经网络(ANN)是一种有效的强大技术,能够表示复杂的输入和输出关系,已广泛用于不同的生物医学应用中。在本信中,考虑了ANN在确定随机高散射介质(如生物组织)的特性中的应用。通过蒙特卡罗方法计算的后向散射光的空间分布用于训练ANN的单次和多次散射方案。提出了使用ANN重建随机散射介质局部层中的吸收宏不均匀性的图像的潜在机会。由于基于基于金纳米颗粒标记癌细胞的新诊断/治疗方法的开发,这一点尤为重要。

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