Myocardial mesostructure and mesofunction
The complex and highly organized structural arrangement of some five billion
cardiomyocytes directs the coordinated electrical activity and mechanical contraction of the …
cardiomyocytes directs the coordinated electrical activity and mechanical contraction of the …
Emerging techniques in cardiac magnetic resonance imaging
R Guo, S Weingärtner, P Šiurytė… - Journal of Magnetic …, 2022 - Wiley Online Library
Cardiovascular disease is the leading cause of death and a significant contributor of health
care costs. Noninvasive imaging plays an essential role in the management of patients with …
care costs. Noninvasive imaging plays an essential role in the management of patients with …
Using synthetic data generation to train a cardiac motion tag tracking neural network
A CNN based method for cardiac MRI tag tracking was developed and validated. A synthetic
data simulator was created to generate large amounts of training data using natural images …
data simulator was created to generate large amounts of training data using natural images …
How drugs modulate the performance of the human heart
Many drugs interact with ion channels in the cells of our heart and trigger heart rhythm
disorders with potentially fatal consequences. Computational modeling can provide …
disorders with potentially fatal consequences. Computational modeling can provide …
Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images
Recent advances in deep learning have greatly improved the ability to generate analysis
models from medical images. In particular, great attention is focused on quickly generating …
models from medical images. In particular, great attention is focused on quickly generating …
A simple and efficient adaptive time stepping technique for l ow‐order operator splitting schemes applied to cardiac electrophysiology
D Ogiermann, LE Perotti… - International Journal for …, 2023 - Wiley Online Library
We present a simple, yet efficient adaptive time stepping scheme for cardiac
electrophysiology (EP) simulations based on standard operator splitting techniques. The …
electrophysiology (EP) simulations based on standard operator splitting techniques. The …
[HTML][HTML] An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology
We present a new explicit local space–time adaptive framework to decrease the time
required for monodomain simulations for cardiac electrophysiology. Based on the localized …
required for monodomain simulations for cardiac electrophysiology. Based on the localized …
An extended generalized Hill model for cardiac tissue: Comparison with different approaches based on experimental data
In this work we discuss advantages and drawbacks of active mechanics frameworks often
used to represent the material response of cardiac tissue. A formal analysis of the models is …
used to represent the material response of cardiac tissue. A formal analysis of the models is …
Arbitrary point tracking with machine learning to measure cardiac strains in tagged MRI
Cardiac tagged MR images allow for deformation fields to be measured in the heart by
tracking the motion of tag lines throughout the cardiac cycle. Machine learning (ML) …
tracking the motion of tag lines throughout the cardiac cycle. Machine learning (ML) …
Native-resolution myocardial principal Eulerian strain mapping using convolutional neural networks and Tagged Magnetic Resonance Imaging
IA Yassine, AM Ghanem, NS Metwalli, A Hamimi… - Computers in biology …, 2022 - Elsevier
Background Assessment of regional myocardial function at native pixel-level resolution can
play a crucial role in recognizing the early signs of the decline in regional myocardial …
play a crucial role in recognizing the early signs of the decline in regional myocardial …