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Global optimization of medical image registration based on nonlinear correlation measurement

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

Abstract

A global optimization technique for Image registration using the concept of nonlinear correlation information entropy (NCIE) as the matching criterion is presented. The method makes it possible to efficiently overcome the local minima problem utilizing the extremum property of NCIE. Furthermore, the improved downhill simplex algorithm incorporated variant accuracy tolerance can reduce the evaluation times greatly as well as obtain an accurate and optimal transformation. Applying to register the magnetic resonance images of brain, the global optimization technique shows the validity and robustness In global searching range.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages3390-3393
Number of pages4
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 1 Sep 20054 Sep 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period1/09/054/09/05

Keywords

  • Downhill simplex
  • Medical image registration
  • Nonlinear correlation information entropy

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