A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images

Timothy Rozario, Sergey Bereg, Weihua Mao

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

Abstract

In order to locate lung tumors on projection images without internal markers, digitally reconstructed radiograph (DRR) is created and compared with projection images. Since lung tumors always move and their locations change on projection images while they are static on DRRs, a special DRR (background DRR) is generated based on modified anatomy from which lung tumors are removed. In addition, global discrepancies exist between DRRs and projections due to their different image orientations, scattering, and noises. This adversely affects comparison accuracy. A simple but efficient comparison algorithm is reported to match imperfectly matched projection images and DRRs.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Volume2014-May
ISBN (Print)9781450327466
DOIs
StatePublished - May 27 2014
Event7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014 - Rhodes, Greece
Duration: May 27 2014May 30 2014

Other

Other7th ACM International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2014
CountryGreece
CityRhodes
Period5/27/145/30/14

Keywords

  • CBCT
  • DRR
  • KV
  • Lung cancer
  • Radiotherapy
  • Tile-shifting
  • Tumor tracking

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Rozario, T., Bereg, S., & Mao, W. (2014). A markerless tiling method for tracking daily lung tumor motion on imperfectly matched images. In ACM International Conference Proceeding Series (Vol. 2014-May). Association for Computing Machinery. https://doi.org/10.1145/2674396.2674438