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Giuseppe Di Labbio

Researcher at Concordia University

Publications -  27
Citations -  174

Giuseppe Di Labbio is an academic researcher from Concordia University. The author has contributed to research in topics: Ventricle & Aortic valve regurgitation. The author has an hindex of 6, co-authored 24 publications receiving 114 citations. Previous affiliations of Giuseppe Di Labbio include École de technologie supérieure & École Polytechnique de Montréal.

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Effect of coarctation of the aorta and bicuspid aortic valve on flow dynamics and turbulence in the aorta using particle image velocimetry

TL;DR: Findings of this study indicate that the presence of both a COA and a pathological aortic valve significantly alters hemodynamics in the aorta and thus might contribute to the progression of the disease in this region.
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Jet collisions and vortex reversal in the human left ventricle

TL;DR: The fluid dynamics in the left ventricle subject to different severities of aortic regurgitation is experimentally investigated by performing time-resolved particle image velocimetry in a left heart duplicator, observing diastolic vortex reversal and energy dissipation.
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Reduced-order modeling of left ventricular flow subject to aortic valve regurgitation

Abstract: The present focus of heart flow studies is largely based on flow within the left ventricle and how this flow changes when subject to disease. However, despite recent advancements, a simple tractable model of even healthy left ventricular flow has not been produced and made available. Reduced-order modeling techniques, such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD), offer an effective means of expressing the large datasets obtained from experiments or numerical simulations using low-dimensional models. While POD and DMD are often used to identify coherent structures in fluid dynamics, their use as a modeling tool has not found much merit in the cardiovascular flow community. In this work, we use POD and DMD to construct reduced-order models for a healthy left ventricular flow as well as for that under the influence of a particular disease shown to exhibit rich and unique intraventricular fluid dynamics, namely, aortic regurgitation (a leaking aortic valve). The performance of the two methods in reconstructing the intraventricular flows and derived quantities is evaluated, and the selected reduced-order models are made available.
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Material transport in the left ventricle with aortic valve regurgitation

TL;DR: In this article, the authors investigate the role of double-jet filling in the compliant left ventricle of the heart, inducing complex and inefficient blood transport, giving rise to increased blood residence time and the emergence of attracting material lines, presenting favorable conditions for thrombus formation.
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Extracting Lagrangian coherent structures in cardiovascular flows using Lagrangian descriptors

TL;DR: In this paper, Lagrangian descriptors have been used to explore the skeleton of blood transport in cardiovascular flows, revealing transport barriers and highlighting locations of elevated strain rate on blood elements.