Share Email Print
cover

Proceedings Paper

Image-guided tumor motion modeling and tracking
Author(s): J. Zhang; Y. Wu; W. Liu; J. Christensen; A. Tai; A. X. Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Radiation therapy (RT) is an important procedure in the treatment of cancer in the thorax and abdomen. However, its efficacy can be severely limited by breathing induced tumor motion. Tumor motion causes uncertainty in the tumor's location and consequently limits the radiation dosage (for fear of damaging normal tissue). This paper describes a novel signal model for tumor motion tracking/prediction that can potentially improve RT results. Using CT and breathing sensor data, it provides a more accurate characterization of the breathing and tumor motion than previous work and is non-invasive. The efficacy of our model is demonstrated on patient data.

Paper Details

Date Published: 13 March 2009
PDF: 11 pages
Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640K (13 March 2009); doi: 10.1117/12.810741
Show Author Affiliations
J. Zhang, Univ. of Wisconsin, Milwaukee (United States)
Y. Wu, Univ. of Wisconsin, Milwaukee (United States)
W. Liu, Univ. of Wisconsin, Milwaukee (United States)
J. Christensen, Medical College of Wisconsin (United States)
A. Tai, Medical College of Wisconsin (United States)
A. X. Li, Medical College of Wisconsin (United States)


Published in SPIE Proceedings Vol. 7264:
Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Khan M. Siddiqui; Brent J. Liu, Editor(s)

© SPIE. Terms of Use
Back to Top