Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions

M Kadem, L Garber, M Abdelkhalek… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …

The critical role of lumped parameter models in patient-specific cardiovascular simulations

L Garber, S Khodaei, Z Keshavarz-Motamed - Archives of Computational …, 2022 - Springer
Cardiovascular (CV) disease impacts tens of millions of people annually and carries a
massive global economic burden. Continued advances in medical imaging, hardware and …

Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis

NK Chakshu, I Sazonov, P Nithiarasu - Biomechanics and modeling in …, 2021 - Springer
An exponential rise in patient data provides an excellent opportunity to improve the existing
health care infrastructure. In the present work, a method to enable cardiovascular digital twin …

Cerebrospinal fluid dynamics coupled to the global circulation in holistic setting: mathematical models, numerical methods and applications

EF Toro, M Celant, Q Zhang… - International Journal …, 2022 - Wiley Online Library
This paper presents a mathematical model of the global, arterio‐venous circulation in the
entire human body, coupled to a refined description of the cerebrospinal fluid (CSF) …

Numerical evaluation of the effectiveness of coronary revascularization

SS Simakov, TM Gamilov, F Liang… - Russian journal of …, 2021 - degruyter.com
In the present paper we construct the model of coronary flow which utilizes the patient's CT
data on both large CA and perfusion. We reconstruct large coronary vessels based on the …

Computational analysis of haemodynamic indices in synthetic atherosclerotic coronary netwroks

S Simakov, T Gamilov, F Liang, P Kopylov - Mathematics, 2021 - mdpi.com
Haemodynamic indices are widely used in clinical practice when deciding on a particular
type of treatment. Low quality of the computed tomography data and tachycardia complicate …

Computational analysis of coronary blood flow: The role of asynchronous pacing and arrhythmias

T Gamilov, P Kopylov, M Serova, R Syunyaev… - Mathematics, 2020 - mdpi.com
In this work we present a one-dimensional (1D) mathematical model of the coronary
circulation and use it to study the effects of arrhythmias on coronary blood flow (CBF) …

Computational analysis of the impact of aortic bifurcation geometry to AAA haemodynamics

DV Tikhvinskii, LR Merzhoeva… - Russian Journal of …, 2022 - degruyter.com
Abdominal aortic aneurysm is a widespread disease of cardiovascular system. Predicting a
moment of its rupture is an important task for modern vascular surgery. At the same time …

Spatially averaged haemodynamic models for different parts of cardiovascular system

SS Simakov - Russian Journal of Numerical Analysis and …, 2020 - degruyter.com
This paper revisits the usage of spatially averaged haemodynamic models such as non-
stationary 1D/0D in space and stationary 0D in space models. Conditions of equivalence …

Personalized computational estimation of relative change in coronary blood flow after percutaneous coronary intervention in short-term and long-term perspectives

SS Simakov, TM Gamilov, AA Danilov… - Russian journal of …, 2022 - degruyter.com
Coronary artery disease is the leading cause of mortality worldwide, accounting for 12.8% of
all deaths. Although the clinical benefits of treating stenosis with percutaneous coronary …