用于散斑统计的局部布氏分布估计器。
Local Burr distribution estimator for speckle statistics.
作者信息
Ge Gary R, Rolland Jannick P, Parker Kevin J
机构信息
The Institute of Optics, University of Rochester, 480 Intercampus Drive, Rochester, New York 14627, USA.
Department of Biomedical Engineering, University of Rochester, 201 Robert B. Goergen Hall, Rochester, New York 14627, USA.
出版信息
Biomed Opt Express. 2022 Mar 22;13(4):2334-2345. doi: 10.1364/BOE.451307. eCollection 2022 Apr 1.
Speckle statistics in ultrasound and optical coherence tomography have been studied using various distributions, including the Rayleigh, the K, and the more recently proposed Burr distribution. In this paper, we expand on the utility of the Burr distribution by first validating its theoretical framework with numerical simulations and then introducing a new local estimator to characterize sample tissues of liver, brain, and skin using optical coherence tomography. The spatially local estimates of the Burr distribution's power-law or exponent parameter enable a new type of parametric image. The simulation and experimental results confirm the potential for various applications of the Burr distribution in both basic science and clinical realms.
超声和光学相干断层扫描中的散斑统计已经使用各种分布进行了研究，包括瑞利分布、K分布以及最近提出的伯尔分布。在本文中，我们首先通过数值模拟验证伯尔分布的理论框架，然后引入一种新的局部估计器，以使用光学相干断层扫描来表征肝脏、大脑和皮肤的样本组织，从而扩展伯尔分布的效用。伯尔分布的幂律或指数参数的空间局部估计能够生成一种新型的参数图像。模拟和实验结果证实了伯尔分布在基础科学和临床领域各种应用的潜力。
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