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

Published: 27 May 2014 Publication History

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.

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Cited By

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  • (2015)An intra-fraction markerless daily lung tumor localization algorithm for EPID imagesProceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2769493.2769511(1-8)Online publication date: 1-Jul-2015

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cover image ACM Other conferences
PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments
May 2014
408 pages
ISBN:9781450327466
DOI:10.1145/2674396
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • iPerform Center: iPerform Center for Assistive Technologies to Enhance Human Performance
  • CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
  • HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
  • U of Tex at Arlington: U of Tex at Arlington
  • NCRS: Demokritos National Center for Scientific Research
  • Fulbrigh, Greece: Fulbright Foundation, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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Author Tags

  1. CBCT
  2. DRR
  3. kV
  4. lung cancer
  5. radiotherapy
  6. tile-shifting
  7. tumor tracking

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PETRA '14
Sponsor:
  • iPerform Center
  • CSE@UTA
  • HERACLEIA
  • U of Tex at Arlington
  • NCRS
  • Fulbrigh, Greece

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Cited By

View all
  • (2015)An intra-fraction markerless daily lung tumor localization algorithm for EPID imagesProceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2769493.2769511(1-8)Online publication date: 1-Jul-2015

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