A fast and accurate tracking algorithm of left ventricles in 3D echocardiography

Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and accurate learning based 3D tracking algorithm is presented. A novel one-step forward prediction is proposed to generate the motion prior using motion manifold learning. Collaborative trackers are introduced to achieve both temporal consistence and tracking robustness. The algorithm is completely automatic and computationally efficient. The mean point-to-mesh

• Type: Conference
• Year: 2008
• Where: ISBI
• Authors: Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J. Foran, Dorin Comaniciu
• Keywords: ISBI 2008, Left Ventricles, Medical Imaging, One-step Forward Prediction, Tracking Robustness