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影响因子：0.659

DOI码：10.1166/jmihi.2014.1338

发表刊物：Journal of Medical Imaging and Health Informatics

刊物所在地：UNITED STATES

关键字：Brain extraction, segmentation, MRI, brain tumor, glioma, deformable model

摘要：The brain segmentation of MRI images is the basic step for most studies of brain, such as quantification analysis of brain tissues, and function and fiber analysis of central nervous system. The Brain Extraction Tools (BET), which has been integrated into some application software such as MRIcro and FMRIB Software Library (FSL), plays an important role in the scientific study of brain. But there are still some problems in terms of accuracy and the degree of automatic processing. An improved method of BET is proposed in this paper, which gives a refined initial deformable model and an improved deformation process. It can provide higher accuracy and robustness than the original BET for automatic brain segmentation. The performance evaluation of this improvement has been done by using some clinical MRI data with glioma that are 3D T1-weighted sequence. Comparing the segmentation results with the “ground truth” of brain, the average overlay rate is 95.11%, greater than the 94.32% of the original BET, and the average extra rate, which indicates the ratio of the residual non-brain tissues after segmentation to total non-brain tissues, is 1.09%, much lower than 10.54% provided by the original BET in FSL.

合写作者：Minli Liao, Xiaojie Zhang, Weibei Dou, Mingyu Zhang, Hongyan Chen, Shaowu Li,汪玉, Jianping Dai,Weibei Dou

第一作者：Weitun Yang,Min Lu

论文类型：期刊论文,会议论文

通讯作者：Weibei Dou

卷号：4

期号：6

页面范围：895-900

ISSN号：2156-7018

是否译文：否

发表时间：2014-12-01