Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2015 (2015), Article ID 367583, 9 pages
http://dx.doi.org/10.1155/2015/367583
Research Article

Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LV-FAST)

1Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, East China Normal University, Shanghai, China
2Department of Radiology, Weill Cornell Medical College, New York, NY 10022, USA
3Multimedia Research, IBM T. J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA
4Department of Medicine-Cardiology, Weill Cornell Medical College, New York, NY 10021, USA
5Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
6Department of Biomedical Engineering, Kyung Hee University, 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446701, Republic of Korea

Received 22 October 2014; Revised 4 January 2015; Accepted 12 January 2015

Academic Editor: David Maintz

Copyright © 2015 Lijia Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Lijia Wang, Mengchao Pei, Noel C. F. Codella, et al., “Left Ventricle: Fully Automated Segmentation Based on Spatiotemporal Continuity and Myocardium Information in Cine Cardiac Magnetic Resonance Imaging (LV-FAST),” BioMed Research International, vol. 2015, Article ID 367583, 9 pages, 2015. doi:10.1155/2015/367583