@inproceedings{969904a7e14845da90b1bfad09967a5b,
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",
language = "English (US)",
isbn = "9728865554",
series = "Proceedings of the 6th International Workshop on Pattern Recognition in Information Systems, PRIS 2006, in Conjunction with ICEIS 2006",
pages = "27--37",
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",
}