[HTML][HTML] Medical image-based computational fluid dynamics and fluid-structure interaction analysis in vascular diseases
Hemodynamic factors, induced by pulsatile blood flow, play a crucial role in vascular health
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …
A generic physics-informed neural network-based constitutive model for soft biological tissues
Constitutive modeling is a cornerstone for stress analysis of mechanical behaviors of
biological soft tissues. Recently, it has been shown that machine learning (ML) techniques …
biological soft tissues. Recently, it has been shown that machine learning (ML) techniques …
Computational modelling and simulation of fluid structure interaction in aortic aneurysms: A systematic review and discussion of the clinical potential
Aortic aneurysm is a cardiovascular disease related to the alteration of the aortic tissue. It is
an important cause of death in developed countries, especially for older patients. The …
an important cause of death in developed countries, especially for older patients. The …
Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model
Scalar-valued failure metrics are commonly used to assess the risk of aortic aneurysm
rupture and dissection, which occurs under hypertensive blood pressures brought on by …
rupture and dissection, which occurs under hypertensive blood pressures brought on by …
PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta
Background and objectives Finite-element analysis (FEA) is widely used as a standard tool
for stress and deformation analysis of solid structures, including human tissues and organs …
for stress and deformation analysis of solid structures, including human tissues and organs …
Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material properties in solid mechanics
Material identification is critical for understanding the relationship between mechanical
properties and the associated mechanical functions. However, material identification is a …
properties and the associated mechanical functions. However, material identification is a …
An inverse method for mechanical characterization of heterogeneous diseased arteries using intravascular imaging
The increasing prevalence of finite element (FE) simulations in the study of atherosclerosis
has spawned numerous inverse FE methods for the mechanical characterization of …
has spawned numerous inverse FE methods for the mechanical characterization of …
Finite element analysis of transcatheter aortic valve implantation: Insights on the modelling of self-expandable devices
A Finotello, R Gorla, N Brambilla, F Bedogni… - Journal of the …, 2021 - Elsevier
Abstract Computational simulations of Transcatheter Aortic Valve Implantation (TAVI) have
reached a high level of complexity and accuracy for the prediction of possible implantation …
reached a high level of complexity and accuracy for the prediction of possible implantation …
[HTML][HTML] Biomechanics of abdominal aortic aneurysm in the framework of Windkessel effect and fully-developed inflow velocity via two-way non-linear FSI
Abdominal aortic aneurysm (AAA) is a pathological condition characterised by localised
dilation of the infrarenal aorta, which can be fatal if rupture occurs. Current diagnostic criteria …
dilation of the infrarenal aorta, which can be fatal if rupture occurs. Current diagnostic criteria …
Uncertainty quantification in the in vivo image-based estimation of local elastic properties of vascular walls
BM Fanni, MN Antonuccio, A Pizzuto, S Berti… - Journal of …, 2023 - mdpi.com
Introduction: Patient-specific computational models are a powerful tool for planning
cardiovascular interventions. However, the in vivo patient-specific mechanical properties of …
cardiovascular interventions. However, the in vivo patient-specific mechanical properties of …