Region and shape prior based geodesic active contour and application in cardiac valve segmentation

Authors:
Yanfeng Shang;Xin Yang;Ming Zhu;Biao Jin;Ming Liu
Affiliations:
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R. China;Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R. China;Xinhua Hospital, Attached to Shanghai Second Medical University, Shanghai, P.R. China;Xinhua Hospital, Attached to Shanghai Second Medical University, Shanghai, P.R. China;Xinhua Hospital, Attached to Shanghai Second Medical University, Shanghai, P.R. China
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Year:
2005

Citing 5
Cited 0

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Geodesic Active Contours

International Journal of Computer Vision
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional

International Journal of Computer Vision
Using Prior Shapes in Geometric Active Contours in a Variational Framework

International Journal of Computer Vision
Gradient flows and geometric active contour models

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

Geodesic active contour is a useful image segmentation method. But it may fail to segment objects disturbed by complex noises. Prior knowledge on certain object is a powerful guidance in image segmentation. We represent region and shape prior of certain object in a form of speed field and incorporate it into Geodesic Active Contours. Region prior constrains the zero level set evolving in certain region and shape prior 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.