Fast Robust Automated Brain Extraction

Overview

Journal Hum Brain Mapp

Publisher Wiley

Specialty Neurology

Date 2002 Oct 23

PMID 12391568

Citations 4860

Authors

Stephen M Smith

Affiliations

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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.

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