Tracking and Prediction of Tumor Movement in the Abdomen

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



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.


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Paper Citation

in Harvard Style

Betke M., Ruel J., C. Sharp G., B. Jiang S., P. Gierga D. and George T. Y. Chen A. (2006). Tracking and Prediction of Tumor Movement in the Abdomen . In 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006) ISBN 978-972-8865-55-9, pages 27-37. DOI: 10.5220/0002471800270037

in Bibtex Style

author={Margrit Betke and Jason Ruel and Gregory C. Sharp and Steve B. Jiang and David P. Gierga and and George T. Y. Chen},
title={Tracking and Prediction of Tumor Movement in the Abdomen},
booktitle={6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)},

in EndNote Style

JO - 6th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2006)
TI - Tracking and Prediction of Tumor Movement in the Abdomen
SN - 978-972-8865-55-9
AU - Betke M.
AU - Ruel J.
AU - C. Sharp G.
AU - B. Jiang S.
AU - P. Gierga D.
AU - George T. Y. Chen A.
PY - 2006
SP - 27
EP - 37
DO - 10.5220/0002471800270037