Fast robust automated brain extraction

Stephen M. Smith · Human Brain Mapping · 2002

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Stephen M. Smith

Publisher

Human Brain Mapping

Year

2002

Language

English

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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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APA 7

Smith, S. M. (2002). Fast robust automated brain extraction. Human Brain Mapping. https://doi.org/10.1002/hbm.10062

MLA

Smith, Stephen M. Fast robust automated brain extraction. Human Brain Mapping, 2002. https://doi.org/10.1002/hbm.10062.

Chicago

Smith, Stephen M. 2002. Fast robust automated brain extraction. Human Brain Mapping. https://doi.org/10.1002/hbm.10062.

Harvard

Smith, S. M. 2002, Fast robust automated brain extraction, Human Brain Mapping, available at: https://doi.org/10.1002/hbm.10062 [Accessed 8 Aug. 2026].

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Title: Fast robust automated brain extraction

Author / contributors: Stephen M. Smith

Publisher: Human Brain Mapping

Publication year: 2002

Language: English

Subjects

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Computer science; Artificial intelligence; Segmentation; Set (abstract data type); Automated method; Gold standard (test); Pattern recognition (psychology); Variety (cybernetics); Computer vision; Image processing; Data set; Head (geology)