Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated longitudinal atrophy

被引:326
作者
Davatzikos, C
Genc, A
Xu, DR
Resnick, SM
机构
[1] Johns Hopkins Univ, Sch Med, Dept Radiol, Ctr Biomed Image Comp, Baltimore, MD 21287 USA
[2] NIA, Lab Personal & Cognit, NIH, Baltimore, MD 21224 USA
关键词
D O I
10.1006/nimg.2001.0937
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:1361 / 1369
页数:9
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