%0 Journal Article
%T A Novel Approach for Segmentation of MRI Brain Images<br>一种基于规则的脑组织磁共振图像分割新方法
%A KONG Jun
%A ZHANG Jing-Dan
%A LU Ying-Hua
%A WANG Jian-Zhong
%A ZHOU Yan-Jun
%A YANG Zhi-Qiang
%A <br>孔俊
%A 张竞丹
%A 吕英华
%A 王建中
%A 周颜军
%A 杨志强
%J 计算机科学
%D 2006
%I 
%X A novel method for segmentation of brain tissues in MRI (Magnetic Resonance Imaging) images is proposed in this paper.Firstly,we de-noise the images using a versatile wavelet-based filter.Subsequently,watershed algorithm is applied to brain tissues as an initial segmenting method.Normally,result of classical watershed algorithm on gray- scale textured images such as tissue images is over-segmentation.The following procedure is a merging process for the over-segmentation regions using fuzzy clustering algorithm (Fuzzy C-Means).But there are still some regions which are not divided completely,particularly in the transitional regions of gray matter and white matter,or cerebrospinal flu- id and gray matter.We proposed a rule-based re-segmentation processing approach to partition these regions based on the combination of local region continuity and global information.This integrated approach yields a robust and precise segmentation.The efficacy of the proposed algorithm is validated using extensive experiments.
%K Wave-based de-noising
%K A rule-based re-segmentation approach
%K Watershed algorithm
%K FCM clustering<br>小波去噪
%K 基于规则的分割方法
%K 分水岭算法
%K 模糊C均值聚类算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BBF1947A3A057E08&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=FE4C96E058BB2280&eid=6A73B36E85DB0CE9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=17