期刊
NEUROIMAGE
卷 22, 期 3, 页码 1255-1261出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2004.03.010
关键词
extraction algorithms; brain; McStrip
资金
- NIBIB NIH HHS [P20 EB02013] Funding Source: Medline
In a companion paper (Rehm et al., 2004), we introduced Minneapolis Consensus Strip (MeStrip), a hybrid algorithm for brain/non-brain segmentation. In this paper, we compare the performance of MeStrip and three brain extraction algorithms (BEAs) in widespread use within the neuroimaging community-Statistical Parametric Mapping v.2 (SPM2), Brain Extraction Tool (BET), and Brain Surface Extractor (BSE)-to the gold standard of manually stripped T1-weighted MRI brain volumes. Our comparison was based on quantitative boundary and volume metrics, reproducibilily across repeat scans of a single subject, and assessments of performance consistency across datasets acquired on different scanners at different institutions. MeStrip, a hybrid method incorporating warping to a template, intensity thresholding, and edge detection, consistently outperformed SPM2, BET, and BSE, all of which rely on a single algorithmic strategy. (C) 2004 Elsevier Inc. All rights reserved.
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