A left ventricular segmentation method on 3D echocardiography using deep learning and snake

Computing in Cardiology

Volumn 43, Issue , 2016, Pages 473-476

  Dong, Suyu ^a   Luo, Gongning ^a   Sun, Guanxiong ^a   Wang, Kuanquan ^a   Zhang, Henggui ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; DIAGNOSIS; ECHOCARDIOGRAPHY; IMAGE SEGMENTATION; NEURAL NETWORKS;

3D ECHOCARDIOGRAPHY; ANATOMIC STRUCTURES; CONVOLUTIONAL NEURAL NETWORK; DEFORMABLE MODELING; SEGMENTATION ACCURACY; SEGMENTATION METHODS; THE REGION OF INTEREST (ROI); TRAINING AND TESTING;

DEEP LEARNING;

EID: 85016110959     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: 10.22489/cinc.2016.136-409     Document Type: Conference Paper

References (16)

1. Y. Zhu, X. Papademetris, A. J. Sinusas, and J. S. Duncan, "A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint, " Med Image Anal, vol. 14, pp. 429-48, Jun 2010.
2. N. Lin, W. Yu, and J. S. Duncan, "Combinative multiscale level set framework for echocardiographic image segmentation, " Med Image Anal, vol. 7, pp. 529-37, Dec 2003.
3. T. Dietenbeck, D. Barbosa, M. Alessandrini, R. Jasaityte, V. Robesyn, J. D'hooge, et al., "Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set, " Medical Image Analysis, vol. 18, pp. 500-514, Apr 2014.
4. O. F. Hansegård J, Rabben S I. [C]//. Springer Berlin Heidelberg, " Real-time active shape models for segmentation of 3D cardiac ultrasound, " presented at the International Conference on Computer Analysis of Images and Patterns, 2007.
5. M. Ma, M. van Stralen, J. H. Reiber, J. G. Bosch, and B. P. Lelieveldt, "Model driven quantification of left ventricular function from sparse single-beat 3D echocardiography, " Med Image Anal, vol. 14, pp. 582-93, Aug 2010.
6. J. Hansegard, S. Urheim, K. Lunde, and S. I. Rabben, "Constrained active appearance models for segmentation of triplane echocardiograms, " IEEE Trans Med Imaging, vol. 26, pp. 1391-400, Oct 2007.
7. G. Carneiro and J. C. Nascimento, "Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data, " Ieee Transactions on Pattern Analysis And Machine Intelligence, vol. 35, pp. 2592-2607, Nov 2013.
8. L. X, Georgescu B, Z. Y, and e. Al, "AutoMPR: Automatic detection of standard planes in 3D echocardiography, " presented at the 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro., 2008.
9. N. J. C. Carneiro G, "Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures, " presented at the Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on//., 2010.
10. L. Zhang, F. Yang, Y. D. Zhang, and Y. J. Zhu, "Road crack detection using deep convolutional neural network, " presented at the IEEE International Conference on Image Processing (ICIP 2016), 2016.
11. GN Luo, R An, KQ Wang, SY Dong, HG Zhang. A deep learning network for right ventricle segmentation in shortaxis MRI. Computing in Cardiology 2016;43.
12. GN Luo, GX Sun, KQ Wang, SY Dong, HG Zhang. A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI. Computing in Cardiology 2016;43.
13. SY Dong, GN Luo, GX Sun, KQ Wang, HG Zhang. A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography. Computing in Cardiology 2016;43.
14. M. R. Avendi, A. Kheradvar, and H. Jafarkhani, "A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI, " Med Image Anal, vol. 30, pp. 108-19, May 2016.
15. L. P. Bengio Y, Popovici D, et al, "Greedy layer-wise training of deep networks, " Advances in neural information processing systems, p. 19: 153, 2007.
16. O. Bernard, J. G. Bosch, B. Heyde, M. Alessandrini, D. Barbosa, S. Camarasu-Pop, et al., "Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography, " IEEE Trans Med Imaging, Nov 25 2015.