Seminarios ILFM. Organiza Luis Parras (línea Fluid Mechanics, Smart Materials and Structures. Mecánica de Fluidos y Materiales y Estructuras Inteligentes). Serie de charlas  ILFM ("I Love Fluid Mechanics”). Más información: https://sites.google.com/view/ilfmtalks/p%C3%A1gina-principal.

  23/11/2022, Salón de Grados B , E.I.I. 11:00-12:00
Eduardo Durán Venegas, contratado postdoctoralPAIDI en la UGR
"Computational fluid dynamics to predict cardiac diseases: the importance of uncertainty
quantification"

Cardiovascular diseases are a leading cause of mortality worldwide.
For instance, ischemic stroke, one of the most common cardiac
diseases, affects over 18 million people yearly. In particular, these
strokes are highly related to thrombi generated in the cardiac
chambers, whose anatomy varies significantly among patients, affecting
blood behavior. However, despite this variability, current medical
procedures to estimate the risk of ischemic stroke or other cardiac
diseases are based on population demographics and do not consider
patient-specific information about hemodynamics. In this sense,
computational fluid dynamics (CFD) based on patient-specific medical
images can provide useful information to predict cardiac diseases,
investigating different aspects of heart hemodynamics, e.g., blood
stagnation, non-Newtonian effects inside the cardiac chambers, or the
influence of vein flow rates. Recent studies have provided helpful
guidance for setting up models and boundary conditions that precisely
reproduce each patient’s hemodynamics in a specific physiological
state. However, these physiological circumstances can vary
significantly between patients or during a patient’s daily life. In
this talk, we analyze cardiac flows through CFD simulations and study
how different uncertainty sources can affect heart hemodynamics.