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신경회로망을 이용한 4차원 방사선치료에서의 조사 표적 움직임 예측

Other Titles
 Prediction of Target Motion Using Neural Network for 4-dimensional Radiation Therapy 
Authors
 이상경  ;  김용남  ;  박경란  ;  정경근  ;  이창걸  ;  이익재  ;  성진실  ;  최원훈  ;  정윤선  ;  박성호 
Citation
 Korean Journal of Medical Physics (의학물리), Vol.20(3) : 132-138, 2009 
Journal Title
Korean Journal of Medical Physics(의학물리)
ISSN
 1226-5829 
Issue Date
2009
Keywords
4-dimensional radiation therapy ; Target motion prediction ; Neural network
Abstract
Studies on target motion in 4-dimensional radiotherapy are being world-widely conducted to enhance treatment record and protection of normal organs. Prediction of tumor motion might be very useful and/or essential for especially free-breathing system during radiation delivery such as respiratory gating system and tumor tracking system. Neural network is powerful to express a time series with nonlinearity because its prediction algorithm is not governed by statistic formula but finds a rule of data expression. This study intended to assess applicability of neural network method to predict tumor motion in 4-dimensional radiotherapy. Scaled Conjugate Gradient algorithm was employed as a learning algorithm. Considering reparation data for 10 patients, prediction by the neural network algorithms was compared with the measurement by the real-time position management (RPM) system. the results showed that the neural network algorithm has the excellent accuracy of maximum absolute error smaller than 3 mm, except for the cases in which the maximum amplitude of respiration is over the range of respiration used in the learning process of neural network. It indicates the insufficient learning of the neural network for extrapolation. the problem could be solved by acquiring a full range of respiration before learning procedure. Further works are programmed to verify a feasibility of practical application for 4-dimensional treatment system, including prediction performance according to various system latency and irregular patterns of respiration.
Files in This Item:
T200905105.pdf Download
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Yong Nam(김용남)
Seong, Jin Sil(성진실) ORCID logo https://orcid.org/0000-0003-1794-5951
Lee, Ik Jae(이익재) ORCID logo https://orcid.org/0000-0001-7165-3373
Lee, Chang Geol(이창걸) ORCID logo https://orcid.org/0000-0002-8702-881X
Jeong, Kyoung Keun(정경근)
Chung, Yoon Sun(정윤선)
Choi, Won Hoon(최원훈)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/105719
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