BET: Brain Extraction Tool

Stephen M. Smith · 2013

Abstract An automated method for segmenting MR 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- BET (Brain Extraction Tool)- uses a deformable model which 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 pre-registration or other pre-processing before being applied. This report describes the new method and gives some example results and also the results of extensive quantitative testing against “gold-standard ” hand segmentations and two other popular automated methods.

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