一种用于三维超声心动图中左心室的快速准确跟踪算法。
A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY.
作者信息
Yang Lin, Georgescu Bogdan, Zheng Yefeng, Foran David J, Comaniciu Dorin
机构信息
ECE, Rutgers University, Piscataway, NJ 08854.
出版信息
Proc IEEE Int Symp Biomed Imaging. 2008 May 14;5:221-224. doi: 10.1109/ISBI.2008.4540972.
Abstract
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 error of our algorithm is 1.28 mm. It requires less than 1.5 seconds to process a 3D volume (160 × 148 × 208 voxels).
摘要
由于超声图像质量较差以及速度方面的考虑，在三维超声心动图中对左心室进行跟踪是一个具有挑战性的课题。本文提出了一种基于学习的快速准确的三维跟踪算法。提出了一种新颖的单步向前预测方法，利用运动流形学习来生成运动先验。引入协作跟踪器以实现时间一致性和跟踪鲁棒性。该算法完全自动化且计算效率高。我们算法的平均点到网格误差为1.28毫米。处理一个三维容积（160×148×208体素）所需时间不到1.5秒。
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