title: [Segmentation of vascular intima ultrasound images based on an improved C-V model].
abstract: In view of the fact that blood vessels can reflect, to a certain degree, the pathologic changes of cardiovascular diseases, research workers count it necessary to take quick and accurate segmentation of neointimal ultrasound images. The segmentation is faster owing to the reconciled signed distance function added into the classical C-V mode, thus avoiding the step of re-initialization. Moreover, the curve evolution is controlled by external energy item. The displacement of boundary points is calculated. The result shows that the improved model can effectively and accurately extract the contour of neointimal ultrasound images. The curve can not only assess the extracted boundary but also reflect the abnormality of vascular or cardiac rhythm.
authors.affiliation: Electrical Information School Sichuan University, Chengdu 610065, China.
authors.forename: Yujie
authors.initials: Y
authors.lastname: Hu
authors.forename: Ling
authors.initials: L
authors.lastname: Jiang
authors.forename: Haibo
authors.initials: H
authors.lastname: Song
authors.forename: Qi
authors.initials: Q
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D017539:Tunica Intima / Q000000981:diagnostic imaging*; D014463:Ultrasonography