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Yang L, Georgescu B, Zheng Y, et al. A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY. Proc IEEE Int Symp Biomed Imaging. 2008;5:221-224doi: 10.1109/ISBI.2008.4540972.
Yang, L., Georgescu, B., Zheng, Y., Foran, D. J., & Comaniciu, D. (2008). A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY. Proceedings. IEEE International Symposium on Biomedical Imaging, 5221-224. https://doi.org/10.1109/ISBI.2008.4540972
Yang, Lin, et al. "A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY." Proceedings. IEEE International Symposium on Biomedical Imaging vol. 5 (2008): 221-224. doi: https://doi.org/10.1109/ISBI.2008.4540972
Yang L, Georgescu B, Zheng Y, Foran DJ, Comaniciu D. A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY. Proc IEEE Int Symp Biomed Imaging. 2008 May 14;5:221-224. doi: 10.1109/ISBI.2008.4540972. PMID: 19936301; PMCID: PMC2779051.
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Proc IEEE Int Symp Biomed Imaging. 2008 May 14;5:221-224. doi: 10.1109/ISBI.2008.4540972.

A FAST AND ACCURATE TRACKING ALGORITHM OF LEFT VENTRICLES IN 3D ECHOCARDIOGRAPHY.

Proceedings. IEEE International Symposium on Biomedical Imaging

Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J Foran, Dorin Comaniciu

Affiliations

  1. ECE, Rutgers University, Piscataway, NJ 08854.

PMID: 19936301 PMCID: PMC2779051 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).

References

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