Knowledge discovery from tumor respiratory motion data

Huanmei Wu, Qingya Zhao, Li Zhao

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

3 Citations (Scopus)

Abstract

Image-guided radiation treatment (IGRT) is a recent advancement in the treatment of cancer patients with tumors in the abdomen or lungs. However, the efficacy of radiation treatment in these locations is often degraded by tumor respiratory motion. Therefore, the characterization and prediction of tumor motion are critical for precise cancer radiation treatment. This paper describes an approach for knowledge discovery from respiratory motion according to different motion properties. A hierarchical data model is proposed for tumor motion data representation. Various statistical analysis and correlation discovery over complex tumor respiratory motion data are designed based on a data cube to characterize different tumor motion properties. The outcomes will provide quantitative information for tumor motion prediction and real-time treatment delivery, which results better care for cancer patients.

Original languageEnglish
Title of host publicationBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages297-301
Number of pages5
Volume1
DOIs
StatePublished - 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: May 27 2008May 30 2008

Other

OtherBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
CountryChina
CitySanya, Hainan
Period5/27/085/30/08

Fingerprint

Data mining
Tumors
Radiation
Data structures
Statistical methods

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

Cite this

Wu, H., Zhao, Q., & Zhao, L. (2008). Knowledge discovery from tumor respiratory motion data. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 (Vol. 1, pp. 297-301). [4548680] https://doi.org/10.1109/BMEI.2008.116

Knowledge discovery from tumor respiratory motion data. / Wu, Huanmei; Zhao, Qingya; Zhao, Li.

BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 1 2008. p. 297-301 4548680.

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

Wu, H, Zhao, Q & Zhao, L 2008, Knowledge discovery from tumor respiratory motion data. in BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. vol. 1, 4548680, pp. 297-301, BioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008, Sanya, Hainan, China, 5/27/08. https://doi.org/10.1109/BMEI.2008.116
Wu H, Zhao Q, Zhao L. Knowledge discovery from tumor respiratory motion data. In BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 1. 2008. p. 297-301. 4548680 https://doi.org/10.1109/BMEI.2008.116
Wu, Huanmei ; Zhao, Qingya ; Zhao, Li. / Knowledge discovery from tumor respiratory motion data. BioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008. Vol. 1 2008. pp. 297-301
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