Computational anatomy with the SPM software

被引:430
作者
Ashburner, John [1 ]
机构
[1] Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England
基金
英国惠康基金;
关键词
Brain imaging; Computational anatomy; Morphometry; SPM; VOXEL-BASED MORPHOMETRY; HUMAN BRAIN; CORTICAL THICKNESS; WHITE-MATTER; WHOLE-BRAIN; SEGMENTATION; MRI; ATLAS; CLASSIFICATION; PARCELLATION;
D O I
10.1016/j.mri.2009.01.006
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
An overview of computational procedures for examining neuroanatomical variability is presented. The review focuses on approaches that can be applied Using the SPM software package, beginning by explaining briefly how statistical parametric mapping is usually applied to functional imaging data. The review then proceeds to discuss volumetry, with an emphasis on voxel-based morphometry, and the preprocessing steps involved using the SPM software. Most volumetric studies involve univariate approaches, with a correction for some global measure, Such as total brain volume. In contrast, the overall form of the brain may be more accurately modeled using multivariate approaches. Such models of anatomical variability may prove accurate enough for computer assisted diagnoses. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:1163 / 1174
页数:12
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