Literature DB >> 17024834

Noninvasive reconstruction of three-dimensional ventricular activation sequence from the inverse solution of distributed equivalent current density.

Zhongming Liu1, Chenguang Liu, Bin He.   

Abstract

We propose a new electrocardiographic (ECG) inverse approach for imaging the three-dimensional (3-D) ventricular activation sequence based on the modeling and estimation of the equivalent current density throughout the entire volume of the ventricular myocardium. The spatio-temporal coherence of the ventricular excitation process has been utilized to derive the activation time from the estimated time course of the equivalent current density. In the present study, we explored four different linear inverse algorithms (the minimum norm and weighted minimum norm estimates in combination with two regularization schemes: the instant-by-instant regularization and the isotropy method) to estimate the current density at each time instant during the ventricular depolarization. The activation time at any given location within the ventricular myocardium was determined as the time point with the occurrence of the maximum local current density estimate. Computer simulations were performed to evaluate this approach using single- and dual-site pacing protocols in a physiologically realistic cellular automaton heart model. The performance and stability of the proposed approach was evaluated with respect to the various levels of measurement noise (0, 5, 10, 20, 40, and 60 microV), the various numbers of ECG electrodes and the modeling errors on the torso geometry and heart position. The simulation results demonstrate that: 1) the single-site paced 3-D activation sequence can be well reconstructed from 200-channel body surface potential maps with additive Gaussian white noise of 20 microV (correlation coefficient = 0.90, relative error = 0.19, and localization error = 5.49 mm); 2) a higher imaging accuracy can be obtained when the activation is initiated from the left/right ventricle (LV/RV) compared to from the septum; 3) the isotropy method gives rise to a better performance than the conventional instant-by-instant regularization; 4) a decreased imaging accuracy results from a larger noise level, a fewer number of electrodes, or the volume conductor modeling errors; however, a reasonable imaging accuracy can still be obtained with a 60 microV noise level, 64 electrodes, or mild errors on both the torso geometry and heart position, respectively; 5) the dual-site paced 3-D activation sequence can be imaged when the two sites are paced either simultaneously or with a time delay of 20 ms; 6) two pacing sites can be resolved and localized in the imaged 3-D activation sequence when they are located at the contralateral sides of ventricles or at the ventricular lateral wall and the apex, respectively.

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Year:  2006        PMID: 17024834     DOI: 10.1109/tmi.2006.882140

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  30 in total

1.  Three-dimensional imaging of ventricular activation and electrograms from intracavitary recordings.

Authors:  Chenguang Liu; Paul A Iaizzo; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2010-12-23       Impact factor: 4.538

2.  Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

Authors:  Ting Yang; Long Yu; Qi Jin; Liqun Wu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2017-09-25       Impact factor: 4.538

3.  Noninvasive reconstruction of the three-dimensional ventricular activation sequence during pacing and ventricular tachycardia in the canine heart.

Authors:  Chengzong Han; Steven M Pogwizd; Cheryl R Killingsworth; Bin He
Journal:  Am J Physiol Heart Circ Physiol       Date:  2011-10-07       Impact factor: 4.733

4.  Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain-Application to Mapping Reentrant Ventricular Tachycardia.

Authors:  Ting Yang; Steven M Pogwizd; Gregory P Walcott; Long Yu; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2018-08-23       Impact factor: 10.048

5.  Identifying model inaccuracies and solution uncertainties in noninvasive activation-based imaging of cardiac excitation using convex relaxation.

Authors:  Burak Erem; Peter M van Dam; Dana H Brooks
Journal:  IEEE Trans Med Imaging       Date:  2014-04       Impact factor: 10.048

6.  Noninvasive three-dimensional cardiac activation imaging from body surface potential maps: a computational and experimental study on a rabbit model.

Authors:  Chengzong Han; Zhongming Liu; Xin Zhang; Steven Pogwizd; Bin He
Journal:  IEEE Trans Med Imaging       Date:  2008-11       Impact factor: 10.048

7.  Reconstruction of multiple gastric electrical wave fronts using potential-based inverse methods.

Authors:  J H K Kim; A J Pullan; L K Cheng
Journal:  Phys Med Biol       Date:  2012-07-27       Impact factor: 3.609

8.  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
Journal:  IEEE Trans Med Imaging       Date:  2015-08-04       Impact factor: 10.048

9.  Noninvasive cardiac activation imaging of ventricular arrhythmias during drug-induced QT prolongation in the rabbit heart.

Authors:  Chengzong Han; Steven M Pogwizd; Cheryl R Killingsworth; Zhaoye Zhou; Bin He
Journal:  Heart Rhythm       Date:  2013-06-14       Impact factor: 6.343

10.  Noninvasive Imaging of High-Frequency Drivers and Reconstruction of Global Dominant Frequency Maps in Patients With Paroxysmal and Persistent Atrial Fibrillation.

Authors:  Zhaoye Zhou; Qi Jin; Lin Yee Chen; Long Yu; Liqun Wu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2016-04-13       Impact factor: 4.538

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