Literature DB >> 11232625

Electrocardiographic imaging: II. Effect of torso inhomogeneities on noninvasive reconstruction of epicardial potentials, electrograms, and isochrones.

C Ramanathan1, Y Rudy.   

Abstract

INTRODUCTION: Noninvasive electrocardiographic imaging (ECGI) involves inverse reconstruction of epicardial potentials, electrograms (EGMs), and isochrones from body surface potential maps (BSPMs). The heart lies in a volume conductor that includes lungs, blood, bone, muscle, and fluid. We investigate the effects of these torso inhomogeneities on reconstructed epicardial potentials, EGMs, and isochrones to address the issue of whether they should be included in clinical ECGI methodology. METHODS AND
RESULTS: Potential data were obtained for different pacing protocols from a dog heart suspended in a human-shaped torso tank. Accurate geometry of torso inhomogeneities was digitized from the Visual Human Project and appropriately introduced into a computer model of the torso. Three models were used: accurate inhomogeneous torso, homogeneous torso, and a torso with stylized lungs (to generate an approximate model). The inhomogeneous model was used to compute BSPMs from the measured epicardial potentials. These BSPMs were the starting point for inverse computations in the different torso models. Epicardial potential maps, EGMs, and isochrones were computed. The homogeneous model produced slightly less accurate epicardial potential reconstructions than the inhomogeneous model and stylized lung model, but epicardial potential patterns, EGMs, isochrones, and locations of pacing sites were reconstructed with comparable accuracy when torso inhomogeneities were ignored.
CONCLUSION: The results demonstrate that, in the clinical application, it is not necessary to include torso inhomogeneities for noninvasive reconstructions of epicardial potentials, EGMs, and activation sequences.

Entities:  

Mesh:

Year:  2001        PMID: 11232625     DOI: 10.1046/j.1540-8167.2001.00241.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  26 in total

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2.  Modelling and imaging cardiac repolarization abnormalities.

Authors:  Y Rudy
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3.  Application of the method of fundamental solutions to potential-based inverse electrocardiography.

Authors:  Yong Wang; Yoram Rudy
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4.  Highest dominant frequency and rotor positions are robust markers of driver location during noninvasive mapping of atrial fibrillation: A computational study.

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7.  ML and MAP estimation of parameters for the Kalman filter and smoother applied to electrocardiographic imaging.

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Review 8.  The inverse problem of bioelectricity: an evaluation.

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Journal:  Med Biol Eng Comput       Date:  2012-07-28       Impact factor: 2.602

9.  Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach.

Authors:  Azar Rahimi; John Sapp; Jingjia Xu; Peter Bajorski; Milan Horacek; Linwei Wang
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10.  Noninvasive electrocardiographic imaging (ECGI): application of the generalized minimal residual (GMRes) method.

Authors:  Charulatha Ramanathan; Ping Jia; Raja Ghanem; Daniela Calvetti; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2003-09       Impact factor: 3.934

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