AI-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo

Y Jin, A Pepe, J Li, C Gsaxner, F Zhao… - arXiv preprint arXiv …, 2021 - arxiv.org
The aortic vessel tree is composed of the aorta and its branching arteries, and plays a key
role in supplying the whole body with blood. Aortic diseases, like aneurysms or dissections …

Divergence of the normalized wall shear stress as an effective computational template of low-density lipoprotein polarization at the arterial blood-vessel wall interface

V Mazzi, G De Nisco, K Calò, C Chiastra… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective Near-wall transport of low-density lipoproteins (LDL) in
arteries plays a relevant role in the initiation of atherosclerosis. Although it can be modelled …

Uncertainty propagation of phase contrast-MRI derived inlet boundary conditions in computational hemodynamics models of thoracic aorta

S Bozzi, U Morbiducci, D Gallo, R Ponzini… - Computer methods in …, 2017 - Taylor & Francis
This study investigates the impact that uncertainty in phase contrast-MRI derived inlet
boundary conditions has on patient-specific computational hemodynamics models of the …

The advantages of viscous dissipation rate over simplified power loss as a Fontan hemodynamic metric

ZA Wei, M Tree, PM Trusty, W Wu… - Annals of biomedical …, 2018 - Springer
Flow efficiency through the Fontan connection is an important factor related to patient
outcomes. It can be quantified using either a simplified power loss or a viscous dissipation …

A survey of cardiac 4D PC‐MRI data processing

B Köhler, S Born, RFP van Pelt… - Computer Graphics …, 2017 - Wiley Online Library
Cardiac four‐dimensional phase‐contrast magnetic resonance imaging (4D PC‐MRI)
acquisitions have gained increasing clinical interest in recent years. They allow to non …

[PDF][PDF] Uncertainty quantification in numerical simulations of the flow in thoracic aortic aneurysms

A Boccadifuoco, A Mariotti, S Celi, N Martini… - ECCOMAS …, 2016 - researchgate.net
Numerical simulations of the flow in thoracic aortic aneurysms are carried out by using the
open-source tool SimVascular and considering patient-specific geometries, obtained …

Quantitative magnetic resonance imaging measures of three‐dimensional aortic morphology in healthy aging and hypertension

T Dietenbeck… - Journal of Magnetic …, 2021 - Wiley Online Library
Automated segmentation of three‐dimensional (3D) aortic magnetic resonance imaging
(MRI) renders a possible retrospective selection of any location to perform quantification of …

Deep Learning‐Based Analysis of Aortic Morphology From Three‐Dimensional MRI

J Guo, K Bouaou… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Quantification of aortic morphology plays an important role in the evaluation
and follow‐up assessment of patients with aortic diseases, but often requires labor‐intensive …

Combining 4D flow MRI and complex networks theory to characterize the hemodynamic heterogeneity in dilated and non-dilated human ascending aortas

K Calò, D Gallo, A Guala… - Annals of Biomedical …, 2021 - Springer
Motivated by the evidence that the onset and progression of the aneurysm of the ascending
aorta (AAo) is intertwined with an adverse hemodynamic environment, the present study …

Quantification of common carotid artery and descending aorta vessel wall thickness from MR vessel wall imaging using a fully automated processing pipeline

S Gao, R van't Klooster, A Brandts… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To develop and evaluate a method that can fully automatically identify the vessel
wall boundaries and quantify the wall thickness for both common carotid artery (CCA) and …