School of Biomedical Engineering, Capital Medical University, Beijing 100069, People's Republic of China.
Brain Imaging Behav. 2012 Mar;6(1):61-9. doi: 10.1007/s11682-011-9142-3.
This study investigated three-dimensional (3D) texture as a possible diagnostic marker of Alzheimer's disease (AD). T1-weighted magnetic resonance (MR) images were obtained from 17 AD patients and 17 age and gender-matched healthy controls. 3D texture features were extracted from the circular 3D ROIs placed using a semi-automated technique in the hippocampus and entorhinal cortex. We found that classification accuracies based on texture analysis of the ROIs varied from 64.3% to 96.4% due to different ROI selection, feature extraction and selection options, and that most 3D texture features selected were correlated with the mini-mental state examination (MMSE) scores. The results indicated that 3D texture could detect the subtle texture differences between tissues in AD patients and normal controls, and texture features of MR images in the hippocampus and entorhinal cortex might be related to the severity of AD cognitive impairment. These results suggest that 3D texture might be a useful aid in AD diagnosis.
本研究探讨了三维（3D）纹理作为阿尔茨海默病（AD）的一种可能的诊断标志物。从 17 名 AD 患者和 17 名年龄和性别匹配的健康对照者中获得 T1 加权磁共振（MR）图像。使用半自动技术在海马体和内嗅皮层中放置圆形 3D ROI 提取 3D 纹理特征。我们发现，由于不同的 ROI 选择、特征提取和选择选项，基于 ROI 纹理分析的分类准确率从 64.3%到 96.4%不等，并且大多数选择的 3D 纹理特征与简易精神状态检查（MMSE）评分相关。结果表明，3D 纹理可以检测 AD 患者和正常对照者组织之间的细微纹理差异，海马体和内嗅皮层的 MR 图像纹理特征可能与 AD 认知障碍的严重程度有关。这些结果表明，3D 纹理可能是 AD 诊断的有用辅助手段。
