@article{smith_fast_2002,
	title = {Fast robust automated brain extraction},
	volume = {17},
	url = {http://dx.doi.org/10.1002/hbm.10062},
	abstract = {An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners and taken with a wide variety of MR sequences. The method, Brain Extraction Tool (BET), uses a deformable model that evolves to fit the brain's surface by the application of a set of locally adaptive model forces. The method is very fast and requires no preregistration or other pre-processing before being applied. We describe the new method and give examples of results and the results of extensive quantitative testing against ?gold-standard? hand segmentations, and two other popular automated methods. Hum. Brain Mapping 17:143-155, 2002. � 2002 Wiley-Liss, Inc.},
	number = {3},
	urldate = {2008-02-11},
	journal = {Human Brain Mapping},
	author = {Smith, Stephen M.},
	year = {2002},
	pages = {143--155},
}

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