Fast Robust Automated Brain Extraction

Hum Brain Mapp. 2002 Nov;17(3):143-55. doi: 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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms
  • Animals
  • Brain / anatomy & histology*
  • Brain / physiology
  • Humans
  • Magnetic Resonance Imaging / instrumentation
  • Magnetic Resonance Imaging / methods*