Opt Lett. 2019 Jun 15;44(12):2951-2954. doi: 10.1364/OL.44.002951.
Tissue microstructure characterization is a valuable tool in diagnosis and staging of many diseases. In this study, we propose a photoacoustic Nakagami statistics method to noninvasively evaluate the number density of random microstructure. The Nakagami parameters are acquired by fitting the photoacoustic signal envelope histogram with Nakagami distribution function. Theoretical calculations and phantom experiments demonstrate that the Nakagami shape parameter is only related to the number density of random microstructure and monotonically increases with the number density. Based on this finding, we propose a photoacoustic tomography modality with the imaging contrast of the Nakagami shape parameter. Experiments show that the proposed method can provide more comprehensive and accurate description of tissue microstructure.
组织微观结构特征是许多疾病诊断和分期的有用工具。在这项研究中，我们提出了一种光声 Nakagami 统计方法，以无创方式评估随机微观结构的数量密度。通过将光声信号包络直方图与 Nakagami 分布函数拟合来获取 Nakagami 参数。理论计算和体模实验表明，Nakagami 形状参数仅与随机微观结构的数量密度有关，并且随着数量密度的增加而单调增加。基于这一发现，我们提出了一种基于 Nakagami 形状参数成像对比度的光声层析成像模态。实验表明，所提出的方法可以更全面、更准确地描述组织微观结构。
