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We present a new computational model for the numerical simulation of blood flow in the human left heart. To this aim, we use the Navier-Stokes equations in an Arbitrary Lagrangian Eulerian formulation to account for the endocardium motion…

The left atrium (LA) plays a pivotal role in modulating left ventricular filling, but our comprehension of its hemodynamics is significantly limited by the constraints of conventional ultrasound analysis. 4D flow magnetic resonance imaging…

Existing models of adaptation in biological flow networks consider their constituent vessels (e.g. veins and arteries) to be rigid, thus predicting a non physiological response when the drive (e.g. the heart) is dynamic. Here we show that…

Adaptation and Self-Organizing Systems · Physics 2022-10-20 Purba Chatterjee , Sean Fancher , Eleni Katifori

Predicting cardiac indices has long been a focal point in the medical imaging community. While various deep learning models have demonstrated success in quantifying cardiac indices, they remain susceptible to mild input perturbations, e.g.,…

Image and Video Processing · Electrical Eng. & Systems 2024-07-03 Xiangyang Zhu , Kede Ma , Wufeng Xue

Cardiac left ventricle (LV) quantification provides a tool for diagnosing cardiac diseases. Automatic calculation of all relevant LV indices from cardiac MR images is an intricate task due to large variations among patients and deformation…

Image and Video Processing · Electrical Eng. & Systems 2020-02-04 Nils Gessert , Alexander Schlaefer

Battery thermal management system is an indispensable part of the electric vehicles working with Lithium-ion batteries. Accordingly, lithium-ion batteries modeling, battery heat generation, and thermal management are the main focus of…

Systems and Control · Electrical Eng. & Systems 2024-03-05 Pedram Rabiee , Mohammad Hassan Saidi

Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ventricular…

Machine Learning · Computer Science 2022-06-13 Ashkan Parsi

Functional limitation after lung resection surgery has been consistently documented in clinical studies, and right ventricle (RV) dysfunction has been hypothesized as a contributing reason. However, the mechanisms of RV dysfunction after…

Tissues and Organs · Quantitative Biology 2025-05-05 Shiting Huang , Sanjay Pant , Sean McGinty , Richard Good , Ben Shelley , Ankush Aggarwal

Accurate assessment of intraventricular blood flow is essential for evaluating hemodynamic conditions in patients supported by Left Ventricular Assist Devices (LVADs). However, clinical imaging is either incompatible with LVADs or yields…

The cardiologist's main tool for measuring systolic heart failure is left ventricular ejection fraction (LVEF). Trained cardiologist's report both a visual and machine-guided measurement of LVEF, but only use this machine-guided measurement…

As the first endeavour, we have analyzed the pulsatile flow of Oldroyd-B viscoelastic fluid where the combined effects of fluid elasticity and pulsation parameters on the flow characteristics are numerically studied at a low Reynolds…

Fluid Dynamics · Physics 2021-07-08 Subhasisa Rath , Bimalendu Mahapatra

With the development of additive manufacturing, 3D printing technology has become more common nowadays. We designed and 3D printed a cost-effective liquid fluid pressure measurement device that can convert liquid pressure to air pressure.…

Medical Physics · Physics 2019-10-25 Yuqi Jin , Akansha Rao , William Brinkman , Tae-Youl Choi

Cardiovascular diseases are among the leading causes of death globally. Cardiac left ventricle (LV) quantification is known to be one of the most important tasks for the identification and diagnosis of such pathologies. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2018-08-27 Alejandro Debus , Enzo Ferrante

An improved one-dimensional mathematical model based on Pulsed Flow Equations (PFE) is derived by integrating the axial component of the momentum equation over the transient Womersley velocity profile, providing a dynamic momentum equation…

Fluid Dynamics · Physics 2012-12-04 Omer San , Anne E. Staples

Arterial wall shear stress (WSS) parameters are widely used for prediction of the initiation and development of atherosclerosis and arterial pathologies. Traditional clinical evaluation of arterial condition relies on correlations of WSS…

Fluid Dynamics · Physics 2017-02-15 Idit Avrahami , Dikla Kersh , Alex Liberzon

Peripheral Arterial Disease (PAD) is a common form of arterial occlusive disease that is challenging to evaluate at the point-of-care. Hand-held dopplers are the most ubiquitous device used to evaluate circulation and allows providers to…

Sound · Computer Science 2021-06-17 Adrit Rao , Kevin Battenfield , Oliver Aalami

Human blood flow is a multi-scale problem: in first approximation, blood is a dense suspension of plasma and deformable red cells. Physiological vessel diameters range from about one to thousands of cell radii. Current computational models…

Soft Condensed Matter · Physics 2015-03-17 Florian Janoschek , Federico Toschi , Jens Harting

Predictive high-fidelity finite element simulations of human cardiac mechanics co\-mmon\-ly require a large number of structural degrees of freedom. Additionally, these models are often coupled with lumped-parameter models of hemodynamics.…

Computational Engineering, Finance, and Science · Computer Science 2020-02-18 Martin R. Pfaller , Maria Cruz Varona , Johannes Lang , Cristóbal Bertoglio , Wolfgang A. Wall

Continuous control over azimuthal flow and shear in the edge of the Large Plasma Device (LAPD) has been achieved using a biasable limiter which has allowed a careful study of the effect of flow shear on pressure-gradient-driven turbulence…

Plasma Physics · Physics 2013-05-30 D. A. Schaffner , T. A. Carter , G. D. Rossi , D. S. Guice , J. E. Maggs , S. Vincena , B. Friedman

Increased use of sensor signals from wearable devices as rich sources of physiological data has sparked growing interest in developing health monitoring systems to identify changes in an individual's health profile. Indeed, machine learning…

Machine Learning · Computer Science 2022-10-17 Magda Amiridi , Gregory Darnell , Sean Jewell