Correction of motion artifact in cardiac optical mapping using image registration.

Rohde GK, Dawant BM, Lin SF
IEEE Trans Biomed Eng. 2005 52 (2): 338-41

PMID: 15709673 · DOI:10.1109/TBME.2004.840464

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.

MeSH Terms (13)

Algorithms Animals Artifacts Body Surface Potential Mapping Heart Heart Conduction System Image Enhancement Image Interpretation, Computer-Assisted Movement Rabbits Subtraction Technique Tomography, Optical Video Recording

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