Correction of motion artifact in cardiac optical mapping using image registration

Gustavo K. Rohde, Benoit M. Dawant, Shien Fong Lin

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

Cardiac motion is one of the main sources of artifacts in epifluorescence imaging experiments. It can cause significant error in electrophysiological measurements such as action potential duration. We present a novel approach that uses image registration based on maximization of mutual information to correct for in-plane cardiac motion in such experiments. The approach is relatively fast (a few seconds per frame) and is performed entirely post acquisition. The image registration approach is an alternative to traditional approaches such as mechanical restraint of the heart or addition of chemical uncouplers. Our results show that the image registration method significantly reduces motion-related artifacts in experimental data.

Original languageEnglish (US)
Pages (from-to)338-341
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number2
DOIs
StatePublished - Feb 1 2005
Externally publishedYes

Keywords

  • Image registration
  • Motion correction
  • Mutual information
  • Optical mapping

ASJC Scopus subject areas

  • Biomedical Engineering

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