Automating image-based mesh generation and manipulation tasks in cardiac modeling workflows using Meshtool.
Aurel Neic,Matthias A. F. Gsell,Elias Karabelas,Elias Karabelas,Anton J. Prassl,Gernot Plank +5 more
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TLDR
Meshtool is software specifically designed for automating all complex mesh manipulation tasks emerging in such workflows by implementing algorithms for tasks described as operations on label fields and/or geometric features.About:
This article is published in SoftwareX.The article was published on 2020-01-01 and is currently open access. It has received 52 citations till now. The article focuses on the topics: Rendering (computer graphics) & Mesh generation.read more
Citations
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Journal ArticleDOI
The openCARP simulation environment for cardiac electrophysiology.
Gernot Plank,Axel Loewe,Aurel Neic,Christoph M. Augustin,Yung-Lin Huang,Matthias A. F. Gsell,Elias Karabelas,Mark Nothstein,Anton J. Prassl,Jorge Sánchez,Gunnar Seemann,Edward J. Vigmond +11 more
TL;DR: OpenCARP as discussed by the authors is a Python-based simulator for cardiac electrophysiology, which allows developing and sharing simulation pipelines which automate in silico experiments including all modeling and simulation steps to increase reproducibility and productivity.
Computer Methods and Programs in Biomedicine
TL;DR: The comprehensive experiments demonstrate that the GraphCGC-Net is effective for graph classification in brain disorders diagnosis and suggests that applying generative adversarial networks (GANs) in brain networks to improve the classi-cation performance is worth further investigation.
Journal ArticleDOI
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Karli Gillette,Matthias A. F. Gsell,Anton J. Prassl,Elias Karabelas,Elias Karabelas,Ursula Reiter,Gert Reiter,Gert Reiter,Thomas Grandits,Christian Payer,Darko Štern,Darko Štern,Martin Urschler,Jason D. Bayer,Christoph M. Augustin,Aurel Neic,Thomas Pock,Edward J. Vigmond,Gernot Plank +18 more
TL;DR: In this paper, the authors proposed a novel workflow for the generation of high-fidelity CDTs by introducing a comprehensive parameter vector encapsulating all factors relating to the ventricular EP; an abstract reference frame within the model allowing the unattended manipulation of model parameter fields; and a novel fast-forward electrocardiogram (Electrocardiograms) model for efficient and bio-physically-detailed simulation required for parameter inference.
Posted ContentDOI
The openCARP Simulation Environment for Cardiac Electrophysiology
Gernot Plank,Axel Loewe,Aurel Neic,Christoph M. Augustin,Yung-Lin Huang,Matthias A. F. Gsell,Elias Karabelas,Mark Nothstein,Anton J. Prassl,Jorge Sánchez,Gunnar Seemann,Edward J. Vigmond +11 more
TL;DR: OpenCARP as mentioned in this paper is a Python-based simulator for cardiac electrophysiology, which allows developing and sharing simulation pipelines which automate in silico experiments including all modeling and simulation steps to increase reproducibility and productivity.
Journal ArticleDOI
Electro-Mechanical Whole-Heart Digital Twins: A Fully Coupled Multi-Physics Approach
Tobias Gerach,Steffen Schuler,Jonathan Fröhlich,Laura Lindner,Ekaterina Kovacheva,Robin Moss,Eike M. Wülfers,Gunnar Seemann,Christian Wieners,Axel Loewe +9 more
TL;DR: This study presents a detailed mathematical description of a fully coupled multi-scale model of the human heart, including electrophysiology, mechanics, and a closed-loop model of circulation, and highlights ways to adapt this framework to patient specific measurements to build digital twins.
References
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TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator
TL;DR: The essential algorithms and techniques used to develop TetGen are presented, including an efficient tetrahedral mesh data structure, a set of enhanced local mesh operations, and filtered exact geometric predicates, which can robustly handle arbitrary complex 3D geometries and is fast in practice.
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Improved Laplacian Smoothing of Noisy Surface Meshes
TL;DR: This paper presents a technique for smoothing polygonal surface meshes that avoids the well‐known problem of deformation and shrinkage caused by many smoothing methods, like e.g. the Laplacian algorithm.
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Curve and surface smoothing without shrinkage
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Tetrahedral mesh improvement using swapping and smoothing
TL;DR: Computational experiments show that swapping is critical to the improvement of general mesh quality and that optimization-based smoothing is highly effective in eliminating very small and very large angles.
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Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
Hermenegild Arevalo,Fijoy Vadakkumpadan,Eliseo Guallar,Alexander Jebb,Peter Malamas,Katherine C. Wu,Natalia A. Trayanova +6 more
TL;DR: A robust and non-invasive personalized virtual heart risk assessment may have the potential to prevent SCD and avoid unnecessary ICD implantations in post-infarction patients.