Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)

The Study on Predicting Respiratory Motion with Support Vector Regression

Authors
Lei Tong, Chaomin Chen, Kailian Kang, Zihai Xu
Corresponding Author
Lei Tong
Available Online April 2018.
DOI
10.2991/cmsa-18.2018.47How to use a DOI?
Keywords
radiotherapy; support vector regression; respiratory motion prediction; kernel function
Abstract

Objective: The target is usually tracked in real time at thoracic and abdominal radiotherapy due to the effect of respiratory motion, the prediction is necessary to compensate the system latency. Method: This paper proposed a prediction method based on support vector regression, it dynamically updates the training set and achieves the accurate online support vector regression. Result: The experiment selected seven respiratory motion data, using online model trained and predicted. The mean absolute error was 0.30mm. Conclusion: The online accurate support vector regression described respiratory motion accurately, and the results with high precision can be satisfied in practical application.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
April 2018
ISBN
978-94-6252-523-8
ISSN
1951-6851
DOI
10.2991/cmsa-18.2018.47How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Tong
AU  - Chaomin Chen
AU  - Kailian Kang
AU  - Zihai Xu
PY  - 2018/04
DA  - 2018/04
TI  - The Study on Predicting Respiratory Motion with Support Vector Regression
BT  - Proceedings of the 2018 International Conference on Computer Modeling, Simulation and Algorithm (CMSA 2018)
PB  - Atlantis Press
SP  - 204
EP  - 207
SN  - 1951-6851
UR  - https://doi.org/10.2991/cmsa-18.2018.47
DO  - 10.2991/cmsa-18.2018.47
ID  - Tong2018/04
ER  -