文章基本信息

标题：An Improved Method for Cortical Surface Identification based on Local Information
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作者：Yunjie Chen ; Bo Zhao ; Jianwei Zhang 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：4
出版社：SERSC
摘要：Skull stripping head magnetic resonance (MR) images is a classification problem, which is a difficult task due to the convoluted brain surface. This paper presents an automated, robust, and accurate brain volume extraction method (BVE)based on a combined image segmentation and bias estimation method (ISBEM) and a 3D mathematical morphology method. The ISBEM segments brain tissues efficiently and accurately, while estimating the bias field. The new 3D mathematical morphology method can remove the noncerebral tissues efficiently. The results show that our method can obtain more accurate results.
关键词：Brain MRI; Skull stripping; Bias field