Table of Contents
Journal of Medical Engineering
Volume 2013, Article ID 340821, 8 pages
http://dx.doi.org/10.1155/2013/340821
Research Article

Markerless Lung Tumor Motion Tracking by Dynamic Decomposition of X-Ray Image Intensity

1Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
2Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
3St. Luke’s International Hospital, Tokyo 104-8560, Japan
4Graduate School of Engineering, Tohoku University, Sendai 980-8579, Japan
5Center for Information Technology in Education, Tohoku University, Sendai 980-8576, Japan
6Cyberscience Center, Tohoku University, Sendai 980-8578, Japan

Received 12 June 2013; Revised 27 October 2013; Accepted 29 October 2013

Academic Editor: Eugene Fourkal

Copyright © 2013 Noriyasu Homma 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

Noriyasu Homma, Yoshihiro Takai, Haruna Endo, et al., “Markerless Lung Tumor Motion Tracking by Dynamic Decomposition of X-Ray Image Intensity,” Journal of Medical Engineering, vol. 2013, Article ID 340821, 8 pages, 2013. https://doi.org/10.1155/2013/340821.