27 citations · 46 across the 13 of their papers we have counts for
16 papers
Towards Modeling the Hemodynamic Impact of Mitral and Aortic Valve Repair in Patients with Left Ventricular Assist Devices
Mia Bonini, Michael Ferguson, Marc Hirshvogel +4
Valve dysfunction is a major threat to long-term success in left ventricle assist device (LVAD) therapy, with direct implications for right heart performance. In this study, we app…
Quantifying the Spatiotemporal Dynamics of Engineered Cardiac Microbundles
Hiba Kobeissi, Samuel J. DePalma, Javiera Jilberto +3
Brightfield time-lapse imaging is widely used in cardiac tissue engineering, yet the absence of standardized, interpretable analytical frameworks limits reproducibility and cross-p…
In Silico Evaluation of Cardiac Tissue-Engineered Patch Interventions
John Patrick Sayut, Javiera Jilberto, Mia Bonini +3
Myocardial infarction significantly degrades heart function, and current treatments can bring forth serious cost and complications including blood clots and infections. To improve…
Comprehensive Analysis of Relative Pressure Estimation in Type B Aortic Dissection Utilizing 4D-Flow MRI
Brandon Hardy, Judith Zimmermann, Vincent Lechner +6
Magnetic resonance imaging (MRI) can estimate three-dimensional (3D) time-resolved blood velocity fields using 4D-flow MRI, providing rich relative pressure field information. Clin…
Deep learning for temporal super-resolution 4D Flow MRI
Pia Callmer, Mia Bonini, Edward Ferdian +5
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive technique for volumetric, time-resolved blood flow quantification. However, apparent trade-offs between acquisiti…
Effective Block Preconditioners for Fluid Dynamics Coupled to Reduced Models of a Non-Local Nature
Marc Hirschvogel, Mia Bonini, Maximilian Balmus +1
Modeling cardiovascular blood flow is central to many applications in biomedical engineering. To accommodate the complexity of the cardiovascular system, in terms of boundary condi…
MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles
Hiba Kobeissi, Xining Gao, Samuel J. DePalma +8
Movies of human induced pluripotent stem cell (hiPSC)-derived engineered cardiac tissue (microbundles) contain abundant information about structural and functional maturity. Howeve…
Generalized super-resolution 4D Flow MRI $\unicode{x2013}$ using ensemble learning to extend across the cardiovascular system
Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar +14
4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique capable of quantifying blood flow across the cardiovascular system. While practical use is…
MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles
Hiba Kobeissi, Javiera Jilberto, M. Çağatay Karakan +9
Advancing human induced pluripotent stem cell derived cardiomyocyte (hiPSC-CM) technology will lead to significant progress ranging from disease modeling, to drug discovery, to reg…
A Data-Driven Computational Model for Engineered Cardiac Microtissues
Javiera Jilberto, Samuel J. DePalma, Jason Lo +5
Engineered heart tissues (EHTs) present a potential solution to some of the current challenges in the treatment of heart disease; however, the development of mature, adult-like car…
A Viscoelastic Model for Human Myocardium
David Nordsletten, Adela Capilnasiu, Will Zhang +5
Understanding the biomechanics of the heart in health and disease plays an important role in the diagnosis and treatment of heart failure. The use of computational biomechanical mo…
Time-periodic steady-state solution of fluid-structure interaction and cardiac flow problems through multigrid-reduction-in-time
Andreas Hessenthaler, Robert D. Falgout, Jacob B. Schroder +3
In this paper, a time-periodic MGRIT algorithm is proposed as a means to reduce the time-to-solution of numerical algorithms by exploiting the time periodicity inherent to many app…
Estimation of Cardiac Valve Annuli Motion with Deep Learning
Eric Kerfoot, Carlos Escudero King, Tefvik Ismail +2
Valve annuli motion and morphology, measured from non-invasive imaging, can be used to gain a better understanding of healthy and pathological heart function. Measurements such as…
A Class of Analytic Solutions for Verification and Convergence Analysis of Linear and Nonlinear Fluid-Structure Interaction Algorithms
Andreas Hessenthaler, Maximilian Balmus, Oliver Röhrle +1
Fluid-structure interaction (FSI) problems are pervasive in the computational engineering community. The need to address challenging FSI problems has led to the development of a br…
A partition of unity approach to fluid mechanics and fluid-structure interaction
Maximilian Balmus, Andre Massing, Johan Hoffman +2
For problems involving large deformations of thin structures, simulating fluid-structure interaction (FSI) remains challenging largely due to the need to balance computational feas…
Multilevel convergence analysis of multigrid-reduction-in-time
Andreas Hessenthaler, Ben S. Southworth, David Nordsletten +3
This paper presents a multilevel convergence framework for multigrid-reduction-in-time (MGRIT) as a generalization of previous two-grid estimates. The framework provides a priori u…