| KEYWORD |
Hemodynamics and cardiovascular fluid dynamics
keywords CARDIOVASCULAR DISEASES, CARDIOVASCULAR FLUID DYNAMICS, HEMODYNAMICS, MATHEMATICAL MODELING
Reference persons LUCA RIDOLFI, STEFANIA SCARSOGLIO
External reference persons Dr. Matteo Anselmino, Dipartimento di Cardiologia, Ospedale Universitario “Molinette”, Torino
Thesis type THEORETICAL-SIMULATIONS
Description The study of hemodynamics and cardiovascular fluid dynamics has a growing impact in understanding the cardiovascular system, with important clinical outcomes in terms of prevention and care of cardiovascular diseases. Different applications considering the physiological functioning, as well as pathological and extreme conditions are faced from a modeling-numerical point of view. The development and use of reduced order models, multiscale models, and computational fluid dynamics (CFD), allows to analyze the cardio-circulatory systems at different levels, starting from a global framework (lumped parameter models) up to a more detailed local description (3D models).
The thesis proposals involve physio-pathologic aspect of medical and clinical relevance, and are in partial collaboration with the Cardiology Department of the University Hospital "Molinette" in Torino. Some thesis projects currently available are reported in the following:
- Coronary circulation: use of the multiscale model (0D-1D) for the study of atrial fibrillation effects on the coronary flow.
- Microgravity and hypergravity effects: use of the multiscale model (0D-1D) to study the role of gravity on the cardiovascular deconditioning during human space flight.
- Atrial fibrillation and dementia: use of lumped (0D) and/or multiscale (0D-1D) models to analyze the hemodyamic mechanisms linking atrial fibrillation and the onset of cognitive decline.
- Cerebral circulation: CFD analysis starting from in-vivo MR-imaging data to study the effects of atrial fibrillation on the cerebral hemodynamics.
See also immagine1.png
Required skills Good knowledge of programming languages (e.g., Matlab, Fortran, Mathematica, C, C ++, …)
Good command of numerical methods for ordinary and partial differential equations
Interest for multidisciplinary research activities
Deadline 01/10/2021
PROPONI LA TUA CANDIDATURA