A multimodality image registration framework for synchronous visualization of radiotherapy plans with longitudinal imaging studies

  • Chang Yu Wang*
  • , Tsair Fwu Lee
  • , Chun Hsiung Fang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The introduction of adaptive image-guided radiotherapy (IGRT) in the radiotherapy environment has contributed to the rapid accumulation of medical image data, often making it difficult to consolidate information on a single patient. For oncology patients, the lack of data integration can negatively impact on patient care. We propose a multimodality image registration framework (MIRF) for radiotherapy plans to be registered automatically with longitudinal follow-up images. Volume visualization is proved to display changes in serial medical images, and transformed dose distribution and mesh models of radiotherapy targets can be superimposed on these successive images.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09
Pages411-415
Number of pages5
DOIs
StatePublished - 2009
Event3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09 - Suwon, Korea, Suwon, Korea, Republic of
Duration: 15 01 200916 01 2009

Publication series

NameProceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09

Conference

Conference3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC'09
Country/TerritoryKorea, Republic of
CitySuwon
Period15/01/0916/01/09

Keywords

  • Affine transformation
  • Image registration
  • Radiotherapy plan

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