Noninvasive three-dimensional activation time imaging of ventricular excitation by means of a heart-excitation model.
We propose a new method for imaging activation time within three-dimensional (3D) myocardium by means of a heart-excitation model. The activation time is estimated from body surface electrocardiograms by minimizing multiple objective functions of the measured body surface potential maps (BSPMs) and the heart-model-generated BSPMs. Computer simulation studies have been conducted to evaluate the proposed 3D myocardial activation time imaging approach. Single-site pacing at 24 sites throughout the ventricles, as well as dual-site pacing at 12 pairs of sites in the vicinity of atrioventricular ring, was performed. The present simulation results show that the average correlation coefficient (CC) and relative error (RE) for single-site pacing were 0.9992+/-0.0008/0.9989+/-0.0008 and 0.05+/-0.02/0.07+/-0.03, respectively, when 5 microV/10 microV Gaussian white noise (GWN) was added to the body surface potentials. The average CC and RE for dual-site pacing were 0.9975+/-0.0037 and 0.08+/-0.04, respectively, when 10 microV GWN was added to the body surface potentials. The present simulation results suggest the feasibility of noninvasive estimation of activation time throughout the ventricles from body surface potential measurement, and suggest that the proposed method may become an important alternative in imaging cardiac electrical activity noninvasively.
He
Bin
B
The University of Illinois at Chicago, Department of Bioengineering, 60607, USA. bhe@uic.edu
Li
Guanglin
G
Zhang
Xin
X
D000465:Algorithms; D018780:Body Surface Potential Mapping / Q000379:methods*; D002304:Cardiac Pacing, Artificial; D003198:Computer Simulation; D005240:Feasibility Studies; D006329:Heart Conduction System / Q000502:physiology*; D007089:Image Enhancement / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D008955:Models, Cardiovascular; D009200:Myocardial Contraction / Q000502:physiology; D009431:Neural Conduction / Q000502:physiology; D013909:Thorax / Q000502:physiology; D016276:Ventricular Function