个人信息Personal Information
教授
教师英文名称:DOU Weibei
教师拼音名称:douweibei
办公地点:清华大学罗姆楼4-102
联系方式:Email: douwb@tsinghua.edu.cn; Tel: 010-62781703
学位:博士学位
毕业院校:电子科技大学学士、法国雷恩大学硕士、法国卡昂大学博士
A Preprocessing Method for Magnetic Resonance Images of Head to Improve the Performance of Brain Extraction Tools
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DOI码:10.1109/BMEI.2014.7002755
发表刊物:2014 7TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2014)
刊物所在地:UNITED STATES
关键字:Brain Extraction Toolbrain segmentationgliomaMRI
摘要:An automated preprocessing method to improve the performance of brain segmentation with Brain Extraction Tools (BET) is proposed in this paper. It is an automatic decision method of optimal cutting plane of non-brain tissues. This method can be easily integrated into BET and can significantly improve the brain segmentation result for troublesome images. Some clinical 3D T1-weighted MRI data of glioma patients have been used to evaluate this method. Both BET with and without this preprocessing method are carried out, and the results are compared with the "gold-standard" segmented by experts. Two criteria are used to judge the performance, overlay rate and extra rate, where extra rate indicates the ratio of the amount of residual non-brain tissues after segmentation to total non-brain tissues. In the case where no neck area exists the patient head data, both of the BET with and without this preprocessing give the same result. But in the case where the neck is partly included, this proposed preprocessing achieves an average overlay rate of 97.28%, greater than 97% provided by non-preprocessing; and in term of extra rate, the BET with this preprocessing can reach 5.08% that much lower than 29.3% of that without preprocessing.
合写作者:Weitun Yang, Xiaojie Zhang, Min Lu,陈健生,Xueshi Hou, Chang Yang, Guangda Su, Weibei Dou
第一作者:Minli Liao,Yunfan Liu
论文类型:会议论文
通讯作者:Minli Liao,陈健生
页面范围:121-125
是否译文:否
发表时间:2014-10-14