6 papers
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 Methods Utilizing 4D Flow MRI
Brandon Hardy, Judith Zimmermann, Vincent Lechner +6
Magnetic resonance imaging (MRI) can estimate three-dimensional (3D) time-resolved relative pressure fields using 4D-flow MRI, thereby providing rich pressure field information. Cl…
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…