Tumor motion prediction and tracking in adaptive radiotherapy

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

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 languageEnglish (US)
Title of host publication10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages273-278
Number of pages6
DOIs
StatePublished - Sep 6 2010
Event10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States
Duration: May 31 2010Jun 3 2010

Publication series

Name10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Other

Other10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
CountryUnited States
CityPhiladelphia, PA
Period5/31/106/3/10

Fingerprint

Radiotherapy
Tumors
Dosimetry
Neoplasms
Radiation
Patient treatment
Robotics
Tumor Burden
Computer Simulation
Physicians
Tissue
Planning
Computer simulation

Keywords

  • Decentralized control
  • Dynamic response
  • Prediction control
  • Robotic couch
  • Robotic radiation therapy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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). [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; Yu, Yan.

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 proceedingConference 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
Buzurovic I, Podder TK, Huang K, Yu Y. Tumor motion prediction and tracking in adaptive radiotherapy. In 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). https://doi.org/10.1109/BIBE.2010.52
Buzurovic, Ivan ; Podder, Tarun K. ; Huang, Ke ; Yu, Yan. / Tumor motion prediction and tracking in adaptive radiotherapy. 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. pp. 273-278 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).
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