单位：[1]School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China[2]Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China[3]School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China[4]Department of Interventional Ultrasound, China-Japan Friendship Hospital, Beijing 100029, China
Cerebrovascular rupture can cause a severe stroke. Three-dimensional time-of-flight (TOF) magnetic resonance angiography (MRA) is a common method of obtaining vascular information. This work proposes a fully automated segmentation method for extracting the vascular anatomy from TOF-MRA. The steps of the method are as follows. First, the brain is extracted on the basis of regional growth and path planning. Next, the brain's highlighted connected area is explored to obtain seed point information, and the Hessian matrix is used to enhance the contrast of image. Finally, a random walker combined with seed points and enhanced images is used to complete vascular anatomy segmentation. The method is tested using 12 sets of data and compared with two traditional vascular segmentation methods. Results show that the described method obtains an average Dice coefficient of 90.68%, and better results were obtained in comparison with the traditional methods.
基金：
National Science Foundation Program of China [61701022]; Beijing Municipal Science & Technology CommissionBeijing Municipal Science & Technology Commission [Z181100001718135]; Biomedical Transformation Engineering Research Center by Beijing University of Chemical Technology [PYBZ1804]; China-Japan Friendship Hospital in 2018 [PYBZ1804]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [FRF-BD-20-11A]; Beijing Top Discipline for Artificial Intelligent Science and Engineering, University of Science and Technology Beijing
语种：
外文
WOS：
中科院(CAS)分区：
出版当年[2019]版：
大类|3 区生物
小类|3 区生物工程与应用微生物4 区医学：研究与实验
最新[2025]版：
大类|4 区医学
小类|4 区生物工程与应用微生物4 区医学：研究与实验
JCR分区：
出版当年[2018]版：
Q3MEDICINE, RESEARCH & EXPERIMENTALQ3BIOTECHNOLOGY & APPLIED MICROBIOLOGY
最新[2023]版：
Q3BIOTECHNOLOGY & APPLIED MICROBIOLOGYQ3MEDICINE, RESEARCH & EXPERIMENTAL
第一作者单位：[1]School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China[2]Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China
通讯作者：
推荐引用方式(GB/T 7714)：
Xiao Ruoxiu,Chen Cheng,Zou Hanying,et al.Segmentation of Cerebrovascular Anatomy from TOF-MRA Using Length-Strained Enhancement and Random Walker[J].BIOMED RESEARCH INTERNATIONAL.2020,2020:doi:10.1155/2020/9347215.
APA：
Xiao, Ruoxiu,Chen, Cheng,Zou, Hanying,Luo, Ying,Wang, Jiayu...&Yu, Ming-An.(2020).Segmentation of Cerebrovascular Anatomy from TOF-MRA Using Length-Strained Enhancement and Random Walker.BIOMED RESEARCH INTERNATIONAL,2020,
MLA：
Xiao, Ruoxiu,et al."Segmentation of Cerebrovascular Anatomy from TOF-MRA Using Length-Strained Enhancement and Random Walker".BIOMED RESEARCH INTERNATIONAL 2020.(2020)
