Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Good, WW; Gillette, KK; Zenger, B; Bergquist, JA; Rupp, LC; Tate, J; Anderson, D; Gsell, MAF; Plank, G; MacLeod, RS.
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.
IEEE Trans Biomed Eng. 2021; 68(11):3290-3300 Doi: 10.1109/TBME.2021.3069792 [OPEN ACCESS]
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Co-authors Med Uni Graz

Gillette Karli

Gsell Matthias

Plank Gernot

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Abstract:

OBJECTIVE: In this study, we have used whole heart simulations parameterized with large animal experiments to validate three techniques (two from the literature and one novel) for estimating epicardial and volumetric conduction velocity (CV). METHODS: We used an eikonal-based simulation model to generate ground truth activation sequences with prescribed CVs. Using the sampling density achieved experimentally we examined the accuracy with which we could reconstruct the wavefront, and then examined the robustness of three CV estimation techniques to reconstruction related error. We examined a triangulation-based, inverse-gradient-based, and streamline-based techniques for estimating CV cross the surface and within the volume of the heart. RESULTS: The reconstructed activation times agreed closely with simulated values, with 50-70% of the volumetric nodes and 97-99% of the epicardial nodes were within 1 ms of the ground truth. We found close agreement between the CVs calculated using reconstructed versus ground truth activation times, with differences in the median estimated CV on the order of 3-5% volumetrically and 1-2% superficially, regardless of what technique was used. CONCLUSION: Our results indicate that the wavefront reconstruction and CV estimation techniques are accurate, allowing us to examine changes in propagation induced by experimental interventions such as acute ischemia, ectopic pacing, or drugs. SIGNIFICANCE: We implemented, validated, and compared the performance of a number of CV estimation techniques. The CV estimation techniques implemented in this study produce accurate, high-resolution CV fields that can be used to study propagation in the heart experimentally and clinically.

Find related publications in this database (using NLM MeSH Indexing)

Animals - administration & dosage

Computer Simulation - administration & dosage

Heart - diagnostic imaging

Heart Conduction System - diagnostic imaging

Find related publications in this database (Keywords)

Heart

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electrophysiology

biomedical signal processing

medical simulation

physiology

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