Fast robust automated brain extraction

作者：Stephen M. Smith · 发表于：Human Brain Mapping · 年份：2002 · DOI：10.1002/hbm.10062 · 被引用次数：10935 · 研究领域：Medical Image Segmentation Techniques、Advanced Neural Network Applications、Medical Imaging Techniques and Applications

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.