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Radiology Research and Practice
Volume 2014, Article ID 547075, 9 pages
http://dx.doi.org/10.1155/2014/547075
Research Article

Rapid Automated Target Segmentation and Tracking on 4D Data without Initial Contours

1Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
2Department of Human Oncology, University of Wisconsin-Madison, Madison, WI 53792, USA
3Wisconsin Institute of Medical Research, 1111 Highland Avenue, Madison, WI 53705, USA
4Department of Medical Physics, University of Wisconsin-Madison, Madison, WI 53792, USA
5Department of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
6Department of Radiation Oncology, Intermountain Healthcare, Salt Lake City, UT 84107, USA

Received 18 March 2014; Revised 2 July 2014; Accepted 4 July 2014; Published 3 August 2014

Academic Editor: Sotirios Bisdas

Copyright © 2014 Venkata V. Chebrolu 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

Venkata V. Chebrolu, Daniel Saenz, Dinesh Tewatia, William A. Sethares, George Cannon, and Bhudatt R. Paliwal, “Rapid Automated Target Segmentation and Tracking on 4D Data without Initial Contours,” Radiology Research and Practice, vol. 2014, Article ID 547075, 9 pages, 2014. https://doi.org/10.1155/2014/547075.