A parameter estimation framework for patient-specific hemodynamic computations

DOI10.1016/j.jcp.2014.10.034zbMath1351.76323OpenAlexW2034914869MaRDI QIDQ728765

Puneet Sharma, Dorin Comaniciu, Ali Kamen, Constantin Suciu, Lucian Itu, Tiziano Passerini

Publication date: 20 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2014.10.034

zbMATH Keywords

parameter estimationhemodynamicsblood flowgeometrical multiscale modelwindkesselmodel personalization

Mathematics Subject Classification ID

Physiological flows (76Z05) Physiological flow (92C35)

Related Items (3)

Impact of uncertainties in outflow boundary conditions on the predictions of hemodynamic simulations of ascending thoracic aortic aneurysms ⋮ Geometric multiscale modeling of the cardiovascular system, between theory and practice ⋮ Hemodynamics and stresses in numerical simulations of the thoracic aorta: stochastic sensitivity analysis to inlet flow-rate waveform

Cites Work

• Adjoint-based inverse analysis of windkessel parameters for patient-specific vascular models
• A two-level time step technique for the partitioned solution of one-dimensional arterial networks
• One-dimensional models for blood flow in arteries
• Computational vascular fluid dynamics: problems, models and methods
• A 1D arterial blood flow model incorporating ventricular pressure, aortic valve and regional coronary flow using the locally conservative Galerkin (LCG) method

This page was built for publication: A parameter estimation framework for patient-specific hemodynamic computations