title: [An integrated segmentation method for 3D ultrasound carotid artery].
abstract: An integrated segmentation method for 3D ultrasound carotid artery was proposed. 3D ultrasound image was sliced into transverse, coronal and sagittal 2D images on the carotid bifurcation point. Then, the three images were processed respectively, and the carotid artery contours and thickness were obtained finally. This paper tries to overcome the disadvantages of current computer aided diagnosis method, such as high computational complexity, easily introduced subjective errors et al. The proposed method could get the carotid artery overall information rapidly, accurately and completely. It could be transplanted into clinical usage for atherosclerosis diagnosis and prevention.
authors.affiliation: Institute for Pattern Recognition and Artificial Intelligence (IPRAI), Huazhong University of Science and Technology, State Key Laboratory for Multi-spectral Information Processing Technologies, Wuhan 430074.
authors.forename: Xin
authors.initials: X
authors.lastname: Yang
authors.forename: Huihui
authors.initials: H
authors.lastname: Wu
authors.forename: Yang
authors.initials: Y
authors.lastname: Liu
authors.forename: Hongwei
authors.initials: H
authors.lastname: Xu
authors.forename: Huageng
authors.initials: H
authors.lastname: Liang
authors.forename: Wenjuan
authors.initials: W
authors.lastname: Cai
authors.forename: Mengjie
authors.initials: M
authors.lastname: Fang
authors.forename: Yujie
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D000792:Angiography / Q000379:methods*; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D014463:Ultrasonography