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

  • Authors:

  • Chang-Yu Wang;Tsair-Fwu Lee;Chun-Hsiung Fang

  • Affiliations:

  • National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC and Chang Gung University College of Medicine, Niao Sung Hsiang, Kaohsiung Hsien, Taiwan, ROC;National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC;National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROC

  • Venue:
  • Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
  • Year:
  • 2009

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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.