Model-based non-invasive FFR prediction for stable coronary artery disease management

"Model-based non-invasive FFR prediction for stable coronary artery disease management", organizado polo CITMAga. Será impartido por Alessia Lucca (Dipartimento di Matemática - Università di Trento)

Data: xoves 16 de marzo 

Hora: 10:00 h.

Duración: 1 hora

Lugar: Aula Magna da Facultade de Matemáticas, ou ben online a través da ligazón Teams meeting.

Abstract:

The development of efficient mathematical models and numerical methods for the study of hemodynamics is becoming increasingly prominent in the analysis of pathological state of the cardiovascular system. It helps in medical diagnosis reducing the need of classical invasive medical techniques, which might be a risk for the patients and generate high health costs. In this talk, we will first present a non-invasive CCTA-based method for Fractional Flow Reserve estimation used for the study of blood flow in real-patient data and we will analyse how the presence of a pressure guidewire in the clinical setting affects pressure measurements. Next, a novel implicit hybrid finite volume/finite element methodology for the efficient simulation of blood flow will be proposed and validated. The implicit discretization of transport-diffusion equations making use of an inexact Newton-Krylov method with an SGS preconditioner yields to an efficient scheme avoiding the severe CFL condition arising in explicit methods for blood flow dynamics. Besides, the Ducros flux function employed for the nonlinear convective terms yields to a provably kinetic energy stable scheme of the advection terms.