title: [The prior-based geodesic active contour for mitral valve segmentation in echocardiographic sequences].
abstract: Geodesic active contour is a useful image segmentation method, but it may fail to segment the objects disturbed by complex noises. Prior knowledge on certain object is a powerful guidance in image segmentation. In this respect, we represent the prior knowledge of region and shape of certain object in a form of speed field and incorporate it into Geodesic Active Contours. The prior region constrains the zero level set evolving in certain region and the prior shape pulls the curve to the ideal contour. Applications in a large quantity of cardiac valve echocardiographic sequences have shown that the algorithm is a more accurate and efficient image segmentation method.
authors.affiliation: Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China. aysyf@126.com
authors.forename: Yanfeng
authors.initials: Y
authors.lastname: Shang
authors.forename: Xin
authors.initials: X
authors.lastname: Yang
authors.forename: Ming
authors.initials: M
authors.lastname: Zhu
authors.forename: Biao
authors.initials: B
authors.lastname: Jin
authors.forename: Ming
authors.initials: M
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008943:Mitral Valve / Q000000981:diagnostic imaging*; D015233:Models, Statistical; D008962:Models, Theoretical; D014463:Ultrasonography