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Literature DB >> 12391568

Fast robust automated brain extraction.

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. Copyright 2002 Wiley-Liss, Inc.

Entities: Gene

Mesh：

Year: 2002 PMID： 12391568 PMCID： PMC6871816 DOI： 10.1002/hbm.10062

Source DB: PubMed Journal: Hum Brain Mapp ISSN： 1065-9471 Impact factor: 5.038

13 in total

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