Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy

Xiaoyong Zhang, Noriyasu Homma, Kei Ichiji, Makoto Abe, Norihiro Sugita, Ivo Bukovsky, Yoshihiro Takai, Makoto Yoshizawa

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

Abstract

In radiation therapy, inter-and intra-fractional tumor motions significantly limit the efficiency of radiation delivery, and bring potential risk to healthy organs and tissues adjacent to the tumor during treatment. To deliver a high-dose radiation adapting to the intra-fractional tumor motion, real-time imaging and tracking the tumor motion during the treatment became critical tasks in radiation therapy research. In this paper, we present our recent studies on tracking the respiration-induced lung tumor motion based on kilo-voltage (kV) and mega-voltage (MV) X-ray fluoroscopy systems. Especially, our focus is on developing robust tracking algorithms to track the deformable tumor motion in real-time. For the kV fluoroscopy, a kernel-based method, which is robust against the tumor deformation and low-contrast image quality, is proposed to track the tumor position. In addition, for the MV fluoroscopy, a region-scalable level set method (LSM) is proposed to tracking the tumor boundary. Experimental results conducted on phantom and clinical data demonstrated the effectiveness of our proposed methods.

Original languageEnglish
Title of host publication2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467384575
DOIs
Publication statusPublished - 2015 Dec 3
Event2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015 - Prague, Czech Republic
Duration: 2015 Oct 292015 Oct 30

Publication series

Name2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015

Other

Other2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015
CountryCzech Republic
CityPrague
Period15/10/2915/10/30

ASJC Scopus subject areas

  • Classics
  • Artificial Intelligence

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    Zhang, X., Homma, N., Ichiji, K., Abe, M., Sugita, N., Bukovsky, I., Takai, Y., & Yoshizawa, M. (2015). Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy. In 2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015 [7347084] (2015 International Workshop on Computational Intelligence for Multimedia Understanding, IWCIM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCIM.2015.7347084