Tumor motion prediction and tracking in adaptive radiotherapy

Ivan Buzurovic; Tarun K. Podder; Ke Huang; Yan Yu

doi:10.1109/BIBE.2010.52

Tumor motion prediction and tracking in adaptive radiotherapy

Ivan Buzurovic, Tarun K. Podder, Ke Huang, Yan Yu

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

19 Scopus citations

Abstract

Respiratory and cardiac motions induce displacement and deformation of the tumor-volume in various internal organs. To accommodate this undesired movement and other errors, physicians incorporate a large margin around the tumor to delineate Planning Target Volume (PTV), so that the Clinical Target Volume (CTV) receives the prescribed radiation dose under any scenario. Consequently, a large volume of healthy tissue is irradiated and sometimes it is difficult to spare critical organs adjacent to the tumor. In this study we have proposed a novel approach to 4D Active Tracking and Dynamic Delivery (ATDD) together with tumor motion prediction. Proposed algorithm can predict tumor position and the robotic system can continuously track the tumor during radiation dose delivery, so that a precise dose is given to a moving target while reducing dose to nearby critical organs for improved patient treatment outcome. The efficacy of the proposed method has been investigated by extensive computer simulation. The results have been presented in this article.

Original language	English (US)
Title of host publication	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages	273-278
Number of pages	6
DOIs	https://doi.org/10.1109/BIBE.2010.52
State	Published - 2010
Externally published	Yes
Event	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States Duration: May 31 2010 → Jun 3 2010

Publication series

Name	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Other

Other	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
Country/Territory	United States
City	Philadelphia, PA
Period	5/31/10 → 6/3/10

Keywords

Decentralized control
Dynamic response
Prediction control
Robotic couch
Robotic radiation therapy

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

10.1109/BIBE.2010.52

Cite this

Buzurovic, I., Podder, T. K., Huang, K., & Yu, Y. (2010). Tumor motion prediction and tracking in adaptive radiotherapy. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010 (pp. 273-278). Article 5521678 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). https://doi.org/10.1109/BIBE.2010.52

Tumor motion prediction and tracking in adaptive radiotherapy. / Buzurovic, Ivan; Podder, Tarun K.; Huang, Ke et al.
10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. p. 273-278 5521678 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).

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

Buzurovic, I, Podder, TK, Huang, K & Yu, Y 2010, Tumor motion prediction and tracking in adaptive radiotherapy. in 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010., 5521678, 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010, pp. 273-278, 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010, Philadelphia, PA, United States, 5/31/10. https://doi.org/10.1109/BIBE.2010.52

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abstract = "Respiratory and cardiac motions induce displacement and deformation of the tumor-volume in various internal organs. To accommodate this undesired movement and other errors, physicians incorporate a large margin around the tumor to delineate Planning Target Volume (PTV), so that the Clinical Target Volume (CTV) receives the prescribed radiation dose under any scenario. Consequently, a large volume of healthy tissue is irradiated and sometimes it is difficult to spare critical organs adjacent to the tumor. In this study we have proposed a novel approach to 4D Active Tracking and Dynamic Delivery (ATDD) together with tumor motion prediction. Proposed algorithm can predict tumor position and the robotic system can continuously track the tumor during radiation dose delivery, so that a precise dose is given to a moving target while reducing dose to nearby critical organs for improved patient treatment outcome. The efficacy of the proposed method has been investigated by extensive computer simulation. The results have been presented in this article.",

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AU - Huang, Ke

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AB - Respiratory and cardiac motions induce displacement and deformation of the tumor-volume in various internal organs. To accommodate this undesired movement and other errors, physicians incorporate a large margin around the tumor to delineate Planning Target Volume (PTV), so that the Clinical Target Volume (CTV) receives the prescribed radiation dose under any scenario. Consequently, a large volume of healthy tissue is irradiated and sometimes it is difficult to spare critical organs adjacent to the tumor. In this study we have proposed a novel approach to 4D Active Tracking and Dynamic Delivery (ATDD) together with tumor motion prediction. Proposed algorithm can predict tumor position and the robotic system can continuously track the tumor during radiation dose delivery, so that a precise dose is given to a moving target while reducing dose to nearby critical organs for improved patient treatment outcome. The efficacy of the proposed method has been investigated by extensive computer simulation. The results have been presented in this article.

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Tumor motion prediction and tracking in adaptive radiotherapy

Abstract

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Keywords

ASJC Scopus subject areas

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