Putting our heads together: a consensus approach to brain/non-brain segmentation in T1-weighted MR volumes

被引：51
作者：
Rehm, K
Schaper, K
Anderson, J
Woods, R
Stoltzner, S
Rottenberg, D
机构：
[1] Univ Minnesota, Int Neuroimaging Consortium 11P, Dept Radiol, Minneapolis, MN 55417 USA
[2] Univ Minnesota, Dept Neurol, Minneapolis, MN 55417 USA
[3] Univ Calif Los Angeles, Dept Neurol, Los Angeles, CA 90095 USA
来源：
NEUROIMAGE | 2004年 / 22卷 / 03期
关键词：
algorithm; brain; MR volume;
D O I：
10.1016/j.neuroimage.2004.03.011
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
We describe an approach to brain extraction from T1-weighted MR volumes that uses a hierarchy of masks created by different models to form a consensus mask. The algorithm (McStrip) incorporates atlas-based extraction via nonlinear warping, intensity-threshold masking with connectivity constraints, and edge-based masking with morphological operations. Volume and boundary metrics were computed to evaluate the reproducibility and accuracy of McStrip against manual brain extraction on 38 scans from normal and ataxic subjects. McStrip masks were reproducible across six repeat scans of a normal subject and were significantly more accurate than the masks produced by any of the individual algorithmic components. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码：1262 / 1270
页数：9
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