Lucian Mihai Itu

TL;DR: The utilisation of multiple artificial intelligence based models are proposed to produce three-dimensional coronary anatomy reconstruction and assess function- post-PCI FFR computation- for developing an extensive report describing and motivating the optimal PCI strategy selection.

TL;DR: A framework for uncertainty quantification in medical image-based patient-specific hemodynamic computations is presented and a generalized Polynomial Chaos Expansion (PCE) method is used to quantify the uncertainties in the computed mean and peak pressure gradient in terms of a probability density functions and error bars over a full cardiac cycle.

TL;DR: In this article, boundary conditions for computing flow of a scanned vessel of the patient are modeled and tuned to a specific patient using a distal vessel tree model, which is then used to calculate boundary conditions.

TL;DR: An optimized GPU based implementation of the artificial compressibility method, which is used to solve the incompressible Navier-Stoked equations, and results indicate a speed-up which varies from just under one order of magnitude for the coarsest grid up to two orders-up for the finest grid.

TL;DR: A hybrid Instantaneous wave-Free Ratio (IFR)/Fractional Flow Reserve (FFR) decision making strategy was recently proposed for increasing the adoption of functional assessment of coronary artery stenoses.