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各向同性散射介质组织切片结构功能的体视学法测定。

A Method for Stereological Determination of the Structure Function From Histological Sections of Isotropic Scattering Media.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2018 Jun;65(6):1007-1016. doi: 10.1109/TUFFC.2018.2818071.

Abstract

The frequency-dependent ultrasonic backscatter coefficient (BSC) from tissues, a fundamental parameter estimated by quantitative ultrasound (QUS) techniques, contains microstructure information useful for tissue characterization. To extract the microstructure information from the BSC, the tissue under investigation is often modeled as a collection of discrete scatterers embedded in a homogeneous background. From a discrete scatterer point of view, the BSC is dependent on not only the properties of individual scatterers relative to the background but also the scatterer spatial arrangement [described by the structure function (SF)]. Recently, the 2-D SF was computed from histological tissue sections, and was shown to be related to the volumetric SF extracted from QUS measurements. In this paper, a stereological method is proposed to extract the volumetric (3-D) SF from 2-D histological tissue sections. Simulations and experimental cell pellet biophantom studies were conducted to evaluate the proposed method. Simulation results verified the proposed method. Experimental results showed that the volumetric SF extracted using the proposed method had a significantly better agreement with the QUS-extracted SF than did the 2-D SF extracted in the previous study. The proposed stereological approach provides a useful tool for predicting the SF from histology.

摘要

组织的频率相关超声背散射系数(BSC)是定量超声(QUS)技术估计的基本参数,包含有用的组织结构信息,用于组织特征化。为了从 BSC 中提取组织结构信息,通常将研究中的组织建模为嵌入在均匀背景中的离散散射体的集合。从离散散射体的角度来看,BSC 不仅取决于相对于背景的单个散射体的特性,还取决于散射体的空间排列[由结构函数(SF)描述]。最近,已经从组织学切片计算出 2-D SF,并显示出与从 QUS 测量中提取的体积 SF 相关。本文提出了一种从 2-D 组织学切片中提取体积(3-D)SF 的体视学方法。进行了模拟和实验细胞球生物模拟研究来评估所提出的方法。模拟结果验证了所提出的方法。实验结果表明,与之前研究中提取的 2-D SF 相比,使用所提出的方法提取的体积 SF 与 QUS 提取的 SF 具有更好的一致性。所提出的体视学方法为从组织学预测 SF 提供了有用的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98ac/5997396/71cdac5cb244/nihms972407f1.jpg

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