Fast robust automated brain extraction
Article first published online: 18 SEP 2002
Copyright © 2002 Wiley-Liss, Inc.
Human Brain Mapping
Volume 17, Issue 3, pages 143–155, November 2002
How to Cite
Smith, S. M. (2002), Fast robust automated brain extraction. Hum. Brain Mapp., 17: 143–155. doi: 10.1002/hbm.10062
- Issue published online: 18 SEP 2002
- Article first published online: 18 SEP 2002
- Manuscript Accepted: 10 JUL 2002
- Manuscript Received: 20 FEB 2002
- brain segmentation;
- cortical surface modeling
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. Hum. Brain Mapping 17:143–155, 2002. © 2002 Wiley-Liss, Inc.