In biomedical optics, it is often of interest to statistically model the amplitude of the speckle using some distributional models with their parameters acting as biomarkers. In this paper, a paradigm shift is being advocated in which a distributional model-free approach is used. Specifically, a range of distances, evaluated in different domains, between an empirical nonparametric distribution of the normalized speckle amplitude sample and the benchmark Rayleigh distribution, is considered. Using OCT images from phantoms, two ex-vivo experiments with porcine corneas and an in-vivo experiment with human corneas, an evidence is provided that the distributional model-free approach, despite its simplicity, could lead to better results than the best-fitted (among a range of considered models) distributional model. Concluding, in practice, the distributional model-free approach should be considered as the first choice to speckle modeling before a distributional-based approach is utilized.
翻译:在生物医学光学学中,利用某些分布模型及其作为生物标志的参数,从统计上模拟光谱的振幅,往往很有意义。在本文中,提倡采用不使用分配模型的范式转变,具体地说,在不同领域评价了不同领域的不同距离,在标准光谱放大样本和基准Raylei的分布之间进行了实证非参数分布。使用幽灵的OCT图像,两次对黑斑玉米的原试验和一次对人玉米的现场实验,提供了证据,说明无分配模型方法尽管简单,但可以比最合适的(在一系列考虑过的模型中)分布模型模型模型模型的分布取得更好的结果。在实践中,在使用基于分配方法之前,应将无分配模型方法视为最先选择的分辨模型。