Tracking and prediction of tumor movement in the abdomen

Margrit Betke, Jason Ruel, Gregory C. Sharp, Steve B. Jiang, David P. Gierga, George T Y Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Methods for tracking and prediction of abdominal tumor movement under free breathing conditions are proposed. Tumor position is estimated by tracking surgically implanted clips surrounding the tumor. The clips are segmented from fluoroscopy videos taken during pre-radiotherapy simulation sessions. After the clips have been tracked during an initial observation phase, motion models are computed and used to predict tumor position in subsequent frames. Two methods are proposed and compared that use Fourier analysis to evaluate the quasi-periodic tumor movements due to breathing. Results indicate that the methods have the potential to estimate mobile tumor position to within a couple of millimeters for precise delivery of radiation.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
Pages27-37
Number of pages11
StatePublished - Dec 1 2006
Event6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 - Paphos, Cyprus
Duration: May 23 2006May 27 2006

Publication series

NameProceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006

Other

Other6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
CountryCyprus
CityPaphos
Period5/23/065/27/06

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems

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    Betke, M., Ruel, J., Sharp, G. C., Jiang, S. B., Gierga, D. P., & Chen, G. T. Y. (2006). Tracking and prediction of tumor movement in the abdomen. In Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 (pp. 27-37). (Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006).