Measuring radiation treatment plan similarity in the cloud

J. Andrea, C. Pinter, Gabor Fichtinger

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

Abstract

Radiation therapy is a form of cancer treatment in which carefully designed plans are used to direct treatment over multiple occasions (fractions). Creating radiation plans is quite laborious, so it is not feasible to manually create a plan for each fraction to maintain treatment quality. We propose to use a database of plans to find the most similar anatomy, based on which a suitable daily plan might be automatically created, thus reducing staff time. However, the computation for finding the most similar plan is long and computationally intensive. We present a method for finding the most similar plan using cloud resources to reduce computation time. The preliminary, unoptimized implementation finds the most similar plan in less than 7 minutes when choosing from five plans, and it is anticipated that increasing the number of plans will result in only a small relative increase in computation time.

Original languageEnglish (US)
Title of host publicationIFMBE Proceedings
PublisherSpringer Verlag
Pages432-435
Number of pages4
Volume51
ISBN (Print)9783319193878
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering, 2015 - Toronto, Canada
Duration: Jun 7 2015Jun 12 2015

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering, 2015
CountryCanada
CityToronto
Period6/7/156/12/15

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Andrea, J., Pinter, C., & Fichtinger, G. (2015). Measuring radiation treatment plan similarity in the cloud. In IFMBE Proceedings (Vol. 51, pp. 432-435). Springer Verlag. https://doi.org/10.1007/978-3-319-19387-8_105