Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated longitudinal atrophy
Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated longitudinal atrophy
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DOI：
10.1006/nimg.2001.0937
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发表时间：
2001-12-01
期刊：
影响因子：
5.7
通讯作者：
Resnick, SM
中科院分区：
文献类型：
--
作者：
Davatzikos, C;Genc, A;Resnick, SM
在基于人群的研究中，对立体定位空间中的解剖图进行统计分析已被证明是一种有用的工具，用于量化局部解剖差异或变化，而无需对感兴趣区域的位置和范围进行先验假设。本文提出了一种扩展和验证以前发表的方法，称为RAVENS，在大脑中的局部萎缩的特点。一种新的方法，弹性，体积保持空间归一化，它允许精确量化非常局限性萎缩，使用。RAVENS方法在两个脑回（中央前回和上级颞回）内模拟萎缩的图像上进行了测试。它被发现准确地确定萎缩的区域，尽管他们的本地化性质和个体间变异的皮层结构。此外，它被发现执行实质上优于SPM'99的基于体素的形态学方法。改进的灵敏度是以人为代价实现的，所述人为代价涉及限定用作对3D弹性翘曲的约束的多个沟曲线。(C)北京：科学出版社.
Statistical analysis of anatomical maps in a stereotaxic space has been shown to be a useful tool in population-based studies for quantifying local anatomical differences or changes, without a priori assumptions about the location and extent of the regions of interest. This paper presents an extension and validation of a previously published methodology, referred to as RAVENS, for characterizing regional atrophy in the brain. A new method for elastic, volume-preserving spatial normalization, which allows for accurate quantification of very localized atrophy, is used. The RAVENS methodology was tested on images with simulated atrophy within two gyri: precentral and superior temporal. It was found to accurately determine the regions of atrophy, despite their localized nature and the interindividual variability of cortical structures. Moreover, it was found to perform substantially better than the voxel-based morphology method of SPM'99. Improved sensitivity was achieved at the expense of human effort involved in defining a number of sulcal curves that serve as constraints on the 3D elastic warping. (C) 2001 Academic Press.