An Effective Approach for Automatic LV Segmentation Based on GMM and ASM

In this paper, we propose a novel approach for automatic left ventricle LV segmentation in cardiac magnetic resonance images CMRI. This algorithm incorporates three key techniques: 1 the mid-ventricular coarse segmentation based on Gaussian mixture model GMM; 2 the mid-slice endo-/epi-cardial initialization based on geometric transformation; 3 the myocardium tracking based on active shape models ASM. Experiment results tested on a standard database demonstrate the effectiveness and competitiveness of the proposed method.