5 papers
An analysis of reconstruction noise from undersampled 4D flow MRI
Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing Long
Novel Magnetic Resonance (MR) imaging modalities can quantify hemodynamics but require long acquisition times, precluding its widespread use for early diagnosis of cardiovascular d…
Multi-fidelity estimators for coronary circulation models under clinically-informed data uncertainty
Jongmin Seo, Casey Fleeter, Andrew M. Kahn +2
Numerical models are increasingly used for non-invasive diagnosis and treatment planning in coronary artery disease, where service-based technologies have proven successful in iden…
The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls
Jongmin Seo, Daniele E. Schiavazzi, Andrew M. Kahn +1
Cardiovascular simulations are increasingly used for non-invasive diagnosis of cardiovascular disease, to guide treatment decisions, and in the design of medical devices. Quantitat…
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
Casey M. Fleeter, Gianluca Geraci, Daniele E. Schiavazzi +2
Standard approaches for uncertainty quantification in cardiovascular modeling pose challenges due to the large number of uncertain inputs and the significant computational cost of…
Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels
Jongmin Seo, Daniele E. Schiavazzi, Alison L. Marsden
Computing the solution of linear systems of equations is invariably the most time consuming task in the numerical solutions of PDEs in many fields of computational science. In this…