作者
Jack L Lancaster, Matthew D Cykowski, David Reese McKay, Peter V Kochunov, Peter T Fox, William Rogers, Arthur W Toga, Karl Zilles, Katrin Amunts, John Mazziotta
发表日期
2010/10/1
期刊
Neuroinformatics
卷号
8
期号
3
页码范围
171-182
出版商
Humana Press Inc
简介
Anatomical global spatial normalization (aGSN) is presented as a method to scale high-resolution brain images to control for variability in brain size without altering the mean size of other brain structures. Two types of mean preserving scaling methods were investigated, “shape preserving” and “shape standardizing”. aGSN was tested by examining 56 brain structures from an adult brain atlas of 40 individuals (LPBA40) before and after normalization, with detailed analyses of cerebral hemispheres, all gyri collectively, cerebellum, brainstem, and left and right caudate, putamen, and hippocampus. Mean sizes of brain structures as measured by volume, distance, and area were preserved and variance reduced for both types of scale factors. An interesting finding was that scale factors derived from each of the ten brain structures were also mean preserving. However, variance was best reduced using whole …
引用总数
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学术搜索中的文章
JL Lancaster, MD Cykowski, DR McKay, PV Kochunov… - Neuroinformatics, 2010