Literature DB >> 32123687

Validation of Intramural Wavefront Reconstruction and Estimation of 3D Conduction Velocity.

Wilson W Good1, Karli K Gillette2, Jake A Bergquist1, Brian Zenger1, Jess Tate1, Lindsay C Rupp1, Devan Anderson1, Gernot Plank2, Rob S MacLeod1.   

Abstract

INTRODUCTION: Changes in conduction velocity are indicative of a wide variety of cardiac abnormalities yet measuring conduction velocity is challenging, especially within the myocardial volume. In this study we investigated a novel technique to reconstruct activation fronts and estimate three-dimensional (3D) conduction velocity (CV) from experimental intramural recordings.
METHODS: From the intermittently sampled electrograms we both reconstruct the activation profile and compute the reciprocal of the gradient of activation times and a series of streamlines that allows for the CV estimation.
RESULTS: The reconstructed activation times agreed closely with simulated values, with 50% to 70% of the nodes ≤ 1ms of absolute error. We found close agreement between the CVs calculated using reconstructed versus simulated activation times. Across the reconstructed stimulation sites we saw that the reconstructed CV was on average 3.8% different than the ground truth CV. DISCUSSION: This study used simulated datasets to validate our methods for reconstructing 3D activation fronts and estimating conduction velocities. Our results indicate that our method allows accurate reconstructions from sparse measurements, thus allowing us to examine changes in activation induced by experimental interventions such as acute ischemia, ectopic pacing, or drugs.

Entities:  

Year:  2020        PMID: 32123687      PMCID: PMC7051050          DOI: 10.22489/cinc.2019.420

Source DB:  PubMed          Journal:  Comput Cardiol (2010)        ISSN: 2325-887X


  9 in total

1.  Estimation of 3-D conduction velocity vector fields from cardiac mapping data.

Authors:  A R Barnette; P V Bayly; S Zhang; G P Walcott; R E Ideker; W M Smith
Journal:  IEEE Trans Biomed Eng       Date:  2000-08       Impact factor: 4.538

2.  A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Authors:  J D Bayer; R C Blake; G Plank; N A Trayanova
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

3.  A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials.

Authors:  Brett M Burton; Kedar K Aras; Wilson W Good; Jess D Tate; Brian Zenger; Rob S MacLeod
Journal:  Ann Biomed Eng       Date:  2018-05-21       Impact factor: 3.934

4.  Spatial organization of acute myocardial ischemia.

Authors:  Kedar Aras; Brett Burton; Darrell Swenson; Rob MacLeod
Journal:  J Electrocardiol       Date:  2016-02-20       Impact factor: 1.438

5.  Universal ventricular coordinates: A generic framework for describing position within the heart and transferring data.

Authors:  Jason Bayer; Anton J Prassl; Ali Pashaei; Juan F Gomez; Antonio Frontera; Aurel Neic; Gernot Plank; Edward J Vigmond
Journal:  Med Image Anal       Date:  2018-02-02       Impact factor: 8.545

6.  Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress.

Authors:  Wilson W Good; Burak Erem; Brian Zenger; Jaume Coll-Font; Dana H Brooks; Rob S MacLeod
Journal:  J Electrocardiol       Date:  2018-08-13       Impact factor: 1.438

7.  Electrocardiographic Comparison of Dobutamine and BRUCE Cardiac Stress Testing With High Resolution Mapping in Experimental Models.

Authors:  Brian Zenger; Wilson W Good; Jake Bergquist; Jess D Tate; Vikas Sharma; Rob S MacLeod
Journal:  Comput Cardiol (2010)       Date:  2019-06-24

Review 8.  Solvers for the cardiac bidomain equations.

Authors:  E J Vigmond; R Weber dos Santos; A J Prassl; M Deo; G Plank
Journal:  Prog Biophys Mol Biol       Date:  2007-08-11       Impact factor: 3.667

9.  Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

Authors:  Aurel Neic; Fernando O Campos; Anton J Prassl; Steven A Niederer; Martin J Bishop; Edward J Vigmond; Gernot Plank
Journal:  J Comput Phys       Date:  2017-10-01       Impact factor: 3.553

  9 in total

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