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Generalized local priority based medical image fusion scheme

  • Jiasheng Hao*
  • , Yi Shen
  • , Hongbing Xu
  • , Jianxiao Zou
  • *Corresponding author for this work
  • University of Electronic Science and Technology of China

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

Abstract

Computer aided fusion of multi modality medical images provides a very promising diagnostic tool with numerous clinical applications. The objective of this paper is to present a novel scheme of medical imaging fusion. We define "local to be fused" of the process of image fusion as a generalized local, which extends airspace locals to generalized locals, and promotes the airspace local priority to generalized local priority. Based on this priority, the volume-weighted of token coefficient of images is introduced and weighted so that multi-modal medical image fusion is achieved with high quality. This scheme is applied to CT/MRI datasets and results show the effectiveness of the method.

Original languageEnglish
Title of host publicationIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Pages969-972
Number of pages4
DOIs
StatePublished - 2009
EventIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing - Kyoto, Japan
Duration: 12 Sep 200914 Sep 2009

Publication series

NameIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Conference

ConferenceIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Country/TerritoryJapan
CityKyoto
Period12/09/0914/09/09

Keywords

  • Assessment
  • Generalized local
  • Image fusion
  • Local priority

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