Literature DB >> 12564871

Model-based imaging of cardiac electrical excitation in humans.

Bernhard Tilg1, Gerald Fischer, Robert Modre, Friedrich Hanser, Bernd Messnarz, Michael Schocke, Christian Kremser, Thomas Berger, Florian Hintringer, Franz Xaver Roithinger.   

Abstract

Activation time (AT) imaging from electrocardiographic (ECG) mapping data has been developing for several years. By coupling ECG mapping and three-dimensional (3-D) + time anatomical data, the electrical excitation sequence can be imaged completely noninvasively in the human heart. In this paper, a bidomain theory-based surface heart model AT imaging approach was applied to single-beat data of atrial and ventricular depolarization in two patients with structurally normal hearts. In both patients, the AT map was reconstructed from sinus and paced rhythm data. Pacing sites were the apex of the right ventricle and the coronary sinus (CS) ostium. For CS pacing, the reconstructed AT pattern on the endocardium of the right atrium was compared with the CARTO map in both patients. The localization errors of the origins of the initial endocardial breakthroughs were determined to be 6 and 12 mm. The sites of early activation and the areas with late activation were estimated with sufficient accuracy. The reconstructed sinus rhythm sequence was in good qualitative agreement with the pattern previously published for the isolated Langendorff-perfused human heart.

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Year:  2002        PMID: 12564871     DOI: 10.1109/TMI.2002.804438

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


  30 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  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

Review 3.  Challenges facing validation of noninvasive electrical imaging of the heart.

Authors:  Martyn P Nash; Andrew J Pullan
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

4.  Application of the method of fundamental solutions to potential-based inverse electrocardiography.

Authors:  Yong Wang; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2006-06-29       Impact factor: 3.934

5.  Effects of volume conductor and source configuration on simulated magnetogastrograms.

Authors:  Rié Komuro; Wenlian Qiao; Andrew J Pullan; Leo K Cheng
Journal:  Phys Med Biol       Date:  2010-11-03       Impact factor: 3.609

6.  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

7.  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

8.  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

9.  Usefulness of ventricular endocardial electric reconstruction from body surface potential maps to noninvasively localize ventricular ectopic activity in patients.

Authors:  Dakun Lai; Jian Sun; Yigang Li; Bin He
Journal:  Phys Med Biol       Date:  2013-05-16       Impact factor: 3.609

10.  Application of L1-norm regularization to epicardial potential solution of the inverse electrocardiography problem.

Authors:  Subham Ghosh; Yoram Rudy
Journal:  Ann Biomed Eng       Date:  2009-03-06       Impact factor: 3.934

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