Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging
Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging
复制标题
DOI：
10.1016/j.mri.2013.04.006
复制
发表时间：
2014-01-01
影响因子：
2.5
通讯作者：
Anderson, Stephan W.
中科院分区：
文献类型：
--
作者：
Barry, Brian;Buch, Karen;Anderson, Stephan W.
本研究的目的是评估参数表观扩散系数（ADC）图纹理分析在定量肝纤维化中的潜在效用。为此，使用来自肝纤维化饮食模型的离体小鼠肝脏组织，使用一系列纹理分析技术，包括基于直方图、基于灰度共生矩阵和基于灰度游程的特征，来评估与肝纤维化的相关性。证明了几种基于纹理的特征与基于主观和数字图像分析的肝纤维化评估之间的中度至非常强的相关性。在肝纤维化模型研究中，对应用于参数ADC图的纹理分析进行了严格的研究，证明并验证了基于纹理的特征用于肝纤维化非侵入性定量评估的潜在效用。(C)2014 Elsevier Inc. All rights reserved.
The purpose of this study was to evaluate the potential utility of texture analysis of parametric apparent diffusion coefficient (ADC) maps in quantifying hepatic fibrosis. To this end, using ex vivo murine liver tissues from a dietary model of hepatic fibrosis, an array of texture analysis techniques, including histogram-based, gray-level co-occurrence matrix-based, and gray-level run-length-based features, was used to evaluate correlations with liver fibrosis. Moderate to very strong correlation between several of the texture-based features and both subjective as well as digital image analysis-based assessments of hepatic fibrosis was demonstrated. This rigorous study of texture analysis applied to parametric ADC maps in a liver fibrosis model study demonstrates and validates the potential utility of texture-based features for the noninvasive, quantitative assessment of hepatic fibrosis. (C) 2014 Elsevier Inc. All rights reserved.