Suppr超能文献

各向异性指数椭球面积比在弥散张量成像中的验证。

Validation of the anisotropy index ellipsoidal area ratio in diffusion tensor imaging.

机构信息

Department of Neurology and Center for Neuroscience, 4860 Y St., Suite 3700, Sacramento, CA 95817, USA.

出版信息

Magn Reson Imaging. 2010 May;28(4):546-56. doi: 10.1016/j.mri.2009.12.015. Epub 2010 Jan 21.

Abstract

A new diffusion anisotropy index, ellipsoidal area ratio (EAR), was described recently and proved to be less noise-sensitive than fractional anisotropy (FA) by theory and simulation. Here we show that EAR has higher signal-to-noise ratios than FA in average diffusion tensor imaging data from 40 normal subjects. EAR was also more sensitive than FA in detecting white matter abnormalities in a patient with widespread diffuse axonal injury. Monte Carlo simulation showed that EAR's mean values are more biased by noise than FA when anisotropy is small, both for single fiber tracts and when fiber tracts cross. However, the improved signal-to-noise ratio of EAR relative to FA suggests that EAR may be a superior measure of anisotropy both in quantifying both deep white matter with relatively uniform fiber tracts and pericortical white matter structure with relatively low anisotropy and fiber crossings.

摘要

最近描述了一种新的扩散各向异性指数,即椭圆面积比 (EAR),理论和模拟证明它比各向异性分数 (FA) 对噪声的敏感性更低。在这里,我们展示了在来自 40 名正常受试者的平均扩散张量成像数据中,EAR 的信噪比高于 FA。EAR 在检测广泛性弥漫性轴索损伤患者的白质异常方面也比 FA 更敏感。蒙特卡罗模拟表明,当各向异性较小时,EAR 的平均值比 FA 更容易受到噪声的影响,无论是在单纤维束还是纤维束交叉时都是如此。然而,EAR 相对于 FA 的信噪比的提高表明,EAR 可能是一种更好的各向异性测量方法,无论是在量化相对均匀纤维束的深部白质还是具有相对较低各向异性和纤维交叉的皮质下白质结构方面。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验