title: [A technique for the vein extraction from the susceptibility weighted imaging of the brain].
abstract: This paper studies the vein extraction technique based on the susceptibility weighted imaging (SWI) and introduced an improved self-adaptive threshold method based on the vessel enhancing diffusion. The approach employs the combination indicator of the local gray character, the global gray character and the tubular information of the vein. It first applies the vessel enhancing diffusion filter to enhance the continuity of the vein, increases the detection rate of tiny vein and suppresses the nucleus areas. And then it uses the improved self-adaptive threshold method to extract the vein. The results demonstrate that this approach can solve the problem above and extract the vein from the SWI image accurately.
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025.
authors.forename: Shi
authors.initials: S
authors.lastname: Suo
authors.forename: Feifei
authors.initials: F
authors.lastname: Dou
authors.forename: Cheng
authors.initials: C
authors.lastname: Wang
authors.forename: Jianrong
authors.initials: J
authors.lastname: Xu
authors.forename: Xin
authors.initials: X
authors.lastname: Huang
authors.forename: Lijun
authors.initials: L
authors.lastname: Qian
authors.forename: Xiu
authors.initials: X
authors.lastname: Xu
mesh_terms: D002550:Cerebral Veins / Q000033:anatomy & histology / Q000473:pathology; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional