Fast robust automated brain extraction

被引：8275

作者：

Smith, SM ^{[1
]}

机构：

[1] Univ Oxford, Dept Clin Neurol, John Radcliffe Hosp, FMRIB,Funct Magnet Resonance Imaging Brain, Oxford OX3 9RU, England

来源：

HUMAN BRAIN MAPPING | 2002年 / 17卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

brain segmentation; cortical surface modeling;

D O I：

10.1002/hbm.10062

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

An automated method for segmenting magnetic resonance head images into brain and nonbrain 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. (C) 2002 Wiley-Liss, Inc.

引用

页码：143 / 155

页数：13

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