Image-guided tumor motion modeling and tracking

J. Zhang; Y. Wu; W. Liu; J. Christensen; A. Tai; A. X. Li

doi:10.1117/12.810741

13 March 2009 Image-guided tumor motion modeling and tracking

J. Zhang, Y. Wu, W. Liu, J. Christensen, A. Tai, A. X. Li

Author Affiliations +

Proceedings Volume 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 72640K (2009) https://doi.org/10.1117/12.810741
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

J. Zhang, Y. Wu, W. Liu, J. Christensen, A. Tai, and A. X. Li "Image-guided tumor motion modeling and tracking", Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640K (13 March 2009); https://doi.org/10.1117/12.810741

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