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《Journal of Image and Graphics》 2010-04
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A Method for Segmentation of the Cardiac MR Images Based on GGVF Snake

WU Yuwei1),LIANG Jia1),WANG Yuanquan1,2)1)(Beijing Laboratory of Intelligent Information Technology,School of Computer Science,Beijing Institute of Technology,Beijing 100081)2)(Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology,School of Computer Science,Tianjin University of Technology,Tianjin 300191)  
In this paper,a novel method based on generalized gradient vector flow(GGVF) Snake model is proposed for segmentation of the left ventricle cardiac magnetic resonance(MR) images.Firstly,an edge-based directional generalized gradient vector flow(EDGGVF) Snake model is proposed as an improvement to GGVF,which differentiates cardiac endocardium and epicardium into positive and negative boundaries by incorporating the gradient orientation information of the images edge map.In addition,a circle-shape based energy for the Snake model is adopted considering the shape of the left ventricle.With this energy,the Snake contour can overcome the unexpected local minimum stemming from image inhomogeneity and papillary muscle.Experimental results show the method is able to segment LV endocardium and epicardium accurately and effectively.
【Fund】: 国家自然科学基金项目(60602050 60805004)
【CateGory Index】: TP391.41
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