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

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 proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
Pages	27-37
Number of pages	11
State	Published - Dec 1 2006
Event	6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 - Paphos, Cyprus Duration: May 23 2006 → May 27 2006

Publication series

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

Other

Other	6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006
Country/Territory	Cyprus
City	Paphos
Period	5/23/06 → 5/27/06

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems

Cite this

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).

Tracking and prediction of tumor movement in the abdomen. / Betke, Margrit; Ruel, Jason; Sharp, Gregory C. et al.

Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006. 2006. p. 27-37 (Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Betke, M, Ruel, J, Sharp, GC, Jiang, SB, Gierga, DP & Chen, GTY 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. Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006, pp. 27-37, 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006, Paphos, Cyprus, 5/23/06.

Betke M, Ruel J, Sharp GC, Jiang SB, Gierga DP, Chen GTY. 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. 2006. p. 27-37. (Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006).

Betke, Margrit ; Ruel, Jason ; Sharp, Gregory C. et al. / Tracking and prediction of tumor movement in the abdomen. Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006. 2006. pp. 27-37 (Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006).

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title = "Tracking and prediction of tumor movement in the abdomen",

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.",

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

year = "2006",

month = dec,

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language = "English (US)",

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series = "Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006",

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booktitle = "Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006",

note = "6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006 ; Conference date: 23-05-2006 Through 27-05-2006",

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AU - Betke, Margrit

AU - Ruel, Jason

AU - Sharp, Gregory C.

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AU - Gierga, David P.

AU - Chen, George T Y

PY - 2006/12/1

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N2 - 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.

AB - 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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BT - Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006

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ER -

Tracking and prediction of tumor movement in the abdomen

Abstract

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