Literature DB >> 9846940

Simulated epicardial potential maps during paced activation reflect myocardial fibrous structure.

R Hren1, J Nenonen, B M Horácek.   

Abstract

Using a three-dimensional propagation model of the human ventricular myocardium, we studied the role of fibrous structure in generating epicardial potential maps. This model represents the myocardium as an anisotropic bidomain with an equal anisotropy ratio, and it incorporates a realistic representation of anatomical features, including epi-endocardial fiber rotation in the compact portion of the wall (compacta) and a distinct fiber arrangement of the trabeculated portion (trabeculata). Activation sequences were elicited at various intramural depths, and maps were calculated throughout a 60 ms sequence. The simulated maps closely resembled those measured by others in the canine heart. During the early stages of activation, a typical map featuring a central minimum flanked by two maxima emerged, with the axis joining these extrema approximately parallel to the fibers near the pacing site, and the axis joining the maxima rotated in the same direction as the fibers for different pacing depths; for endocardial and subendocardial pacing this map changed into one with an oblong positive area. During the later stages of activation, the positive areas of the maps expanded and rotated with the transmural fiber rotation. In concurrence with experiments, we saw a fragmentation and asymmetry of expanding and rotating positive areas. The latter features-apparently caused by the interface between the compacta and trabeculata, variable local thickness of the wall, or local undulations of the vetricular surface-could not be reproduced by more idealized, slab models.

Entities:  

Mesh:

Year:  1998        PMID: 9846940     DOI: 10.1114/1.73

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  9 in total

1.  Assessment of spatial resolution of pace mapping when using body surface potentials.

Authors:  R Hren; B B Punske; G Stroink
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

2.  Sensitivity of Noninvasive Cardiac Electrophysiological Imaging to Variations in Personalized Anatomical Modeling.

Authors:  Azar Rahimi
Journal:  IEEE Trans Biomed Eng       Date:  2015-01-21       Impact factor: 4.538

3.  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

4.  Cardiac anisotropy in boundary-element models for the electrocardiogram.

Authors:  Mark Potse; Bruno Dubé; Alain Vinet
Journal:  Med Biol Eng Comput       Date:  2009-03-21       Impact factor: 2.602

5.  Feasibility study shows concordance between image-based virtual-heart ablation targets and predicted ECG-based arrhythmia exit-sites.

Authors:  Shijie Zhou; Eric Sung; Adityo Prakosa; Konstantinos N Aronis; Jonathan Chrispin; Harikrishna Tandri; Amir AbdelWahab; B Milan Horáček; John L Sapp; Natalia A Trayanova
Journal:  Pacing Clin Electrophysiol       Date:  2021-02-12       Impact factor: 1.976

6.  Noninvasive characterisation of multiple ventricular events using electrocardiographic imaging.

Authors:  R Hren; G Stroink
Journal:  Med Biol Eng Comput       Date:  2001-07       Impact factor: 3.079

7.  Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation.

Authors:  Rubén Molero; Ana González-Ascaso; Ismael Hernández-Romero; David Lundback-Mompó; Andreu M Climent; María S Guillem
Journal:  Front Physiol       Date:  2022-08-29       Impact factor: 4.755

8.  Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function.

Authors:  Martin J Bishop; Gernot Plank; Rebecca A B Burton; Jürgen E Schneider; David J Gavaghan; Vicente Grau; Peter Kohl
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-11-20       Impact factor: 4.733

9.  An image-based model of the whole human heart with detailed anatomical structure and fiber orientation.

Authors:  Dongdong Deng; Peifeng Jiao; Xuesong Ye; Ling Xia
Journal:  Comput Math Methods Med       Date:  2012-08-17       Impact factor: 2.238

  9 in total

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