Subsequence based treatment failure detection and intervention in image guided radiotherapy

Huanmei Wu, Indra J. Das, Qingya Zhao, Huaang Chen, Minghui Lu, Chee Wai Cheng

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

Abstract

Respiratory motion induces discrepancy between the expected tumor positions used in treatment planning and the actual positions during treatment delivery. Such motion degrades greatly the effectiveness of the radiation treatment. To address this challenge, we have proposed an online treatment failure detection approach with image guidance. Tumor motion is tracked in real-time during treatment delivery and compared to the baseline motion used in treatment planning. Tracking errors are recovered online with subdivided subsequence correlation. A stop-n-wait dose delivery procedure is applied to minimize treatment errors. Two approaches have been developed to address baseline shift in tumor motion. The performances are evaluated using three different metrics: the misplacement of the tumor, the treatment efficacy, and the intervention frequency. The results showed that the new approaches will reduce treatment errors, improve dose delivery efficiency, and reduce treatment interventions. This study has the potential to be employed in clinical practice thus improving radiation outcome.

Original languageEnglish
Title of host publication2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings
Pages195-200
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Niigata, Japan
Duration: Jun 16 2013Jun 20 2013

Other

Other2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013
CountryJapan
CityNiigata
Period6/16/136/20/13

Fingerprint

Radiotherapy
Tumors
Radiation
Planning

Keywords

  • dynamic modifer
  • error recovery
  • subsequence

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

Wu, H., Das, I. J., Zhao, Q., Chen, H., Lu, M., & Cheng, C. W. (2013). Subsequence based treatment failure detection and intervention in image guided radiotherapy. In 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings (pp. 195-200). [6607840] https://doi.org/10.1109/ICIS.2013.6607840

Subsequence based treatment failure detection and intervention in image guided radiotherapy. / Wu, Huanmei; Das, Indra J.; Zhao, Qingya; Chen, Huaang; Lu, Minghui; Cheng, Chee Wai.

2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. p. 195-200 6607840.

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

Wu, H, Das, IJ, Zhao, Q, Chen, H, Lu, M & Cheng, CW 2013, Subsequence based treatment failure detection and intervention in image guided radiotherapy. in 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings., 6607840, pp. 195-200, 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013, Niigata, Japan, 6/16/13. https://doi.org/10.1109/ICIS.2013.6607840
Wu H, Das IJ, Zhao Q, Chen H, Lu M, Cheng CW. Subsequence based treatment failure detection and intervention in image guided radiotherapy. In 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. p. 195-200. 6607840 https://doi.org/10.1109/ICIS.2013.6607840
Wu, Huanmei ; Das, Indra J. ; Zhao, Qingya ; Chen, Huaang ; Lu, Minghui ; Cheng, Chee Wai. / Subsequence based treatment failure detection and intervention in image guided radiotherapy. 2013 IEEE/ACIS 12th International Conference on Computer and Information Science, ICIS 2013 - Proceedings. 2013. pp. 195-200
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