Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.
Estimation and Validation of Cardiac Conduction Velocity and Wavefront Reconstruction Using Epicardial and Volumetric Data.
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DOI：
10.1109/tbme.2021.3069792
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发表时间：
2021-11
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在这项研究中，我们使用了全心脏模拟参数化的大型动物实验，以验证三种技术（两个从文献和一个新的）估计心外膜和体积传导速度（CV）。我们使用基于eikonal的仿真模型来生成具有规定CV的地面真实激活序列。使用实验获得的采样密度，我们研究了我们可以重建波前的精度，然后研究了三种CV估计技术对重建相关误差的鲁棒性。我们研究了一种基于三角测量、基于逆梯度和基于流线的技术，用于估计心脏表面和体积内的CV。重建的激动时间与模拟值非常一致，50-70%的体积节点和97-99%的心外膜节点在地面真实值的1 ms内。我们发现使用重建与地面实况激活时间计算的CV之间非常一致，无论使用何种技术，估计CV的中位数差异在体积上为3-5%，表面上为1-2%。我们的研究结果表明，波前重建和CV估计技术是准确的，使我们能够检查传播的变化引起的实验干预，如急性缺血，异位起搏，或药物。我们实施，验证，并比较了一些CV估计技术的性能。本研究中实施的CV估计技术产生准确的高分辨率CV场，可用于研究心脏中的实验和临床传播。
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). 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. 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. 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. 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.