Journal ArticleDOI
In Vivo Quantification of Helical Blood Flow in Human Aorta by Time-Resolved Three-Dimensional Cine Phase Contrast Magnetic Resonance Imaging
Umberto Morbiducci,Raffaele Ponzini,Giovanna Rizzo,Marcello Cadioli,Antonio Esposito,Francesco De Cobelli,Alessandro Del Maschio,Franco Maria Montevecchi,Alberto Redaelli +8 more
TLDR
This study shows that the quantification of helical blood flow in vivo is feasible, and it might allow detection of anomalies in the expected physiological development of helicals flow in aorta and accordingly, could be used in a diagnostic/prognostic index for clinical practice.Abstract:
The mechanics of blood flow in arteries plays a key role in the health of individuals. In this framework, the role played by the presence of helical flow in the human aorta is still not clear in its relation to physiology and pathology. We report here a method for quantifying helical flow in vivo employing time-resolved cine phase contrast magnetic resonance imaging to obtain the complete spatio-temporal description of the three-dimensional pulsatile blood flow patterns in aorta. The method is applied to data of one healthy volunteer. Particle traces were calculated from velocity data: to them we applied a Lagrangian-based method for helical flow quantification, the Helical Flow Index, which has been developed and evaluated in silico in order to reveal global organization of blood flow. Our results: (i) put in evidence that the systolic hemodynamics in aorta is characterized by an evolving helical flow (we quantified a 24% difference in terms of the content of helicity in the streaming blood, between mid and early systole); (ii) indicate that in the first part of the systole helicity is ascrivable mainly to the asymmetry of blood flow in the left ventricle, joined with the laterality of the aorta. In conclusion, this study shows that the quantification of helical blood flow in vivo is feasible, and it might allow detection of anomalies in the expected physiological development of helical flow in aorta and accordingly, could be used in a diagnostic/prognostic index for clinical practice.read more
Citations
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Journal ArticleDOI
Mechanistic insight into the physiological relevance of helical blood flow in the human aorta: an in vivo study
Umberto Morbiducci,Raffaele Ponzini,Giovanna Rizzo,Marcello Cadioli,Antonio Esposito,Franco Maria Montevecchi,Alberto Redaelli +6 more
TL;DR: The hemodynamics within the aorta of five healthy humans were investigated and group analysis suggested that aortic helical blood flow dynamics is an emerging behavior that is common to normal individuals, and the results suggest that helical flow might be caused by natural optimization of fluid transport processes in the cardiovascular system.
Journal ArticleDOI
Inflow boundary conditions for image-based computational hemodynamics: Impact of idealized versus measured velocity profiles in the human aorta
TL;DR: It is concluded that the plausibility of the assumption of idealized velocity profiles as inlet BCs in personalized computational models can lead to misleading representations of the aortic hemodynamics both in terms of disturbed shear and bulk flow structures.
Journal ArticleDOI
The cardiovascular system: Mathematical modelling, numerical algorithms and clinical applications *
TL;DR: This review article will address the two principal components of the cardiovascular system: arterial circulation and heart function, and systematically describe all aspects of the problem, ranging from data imaging acquisition to the development of reduced-order models that are of paramount importance when solving problems with high complexity, which would otherwise be out of reach.
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Effect of non-Newtonian and pulsatile blood flow on mass transport in the human aorta
TL;DR: The shear shining non-Newtonian nature of blood has little effect on LDL and oxygen transport in most regions of the aorta, but in the atherogenic-prone areas where luminal surface LDL concentration is high and oxygen flux is low, its effect is apparent.
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Geometric multiscale modeling of the cardiovascular system, between theory and practice
TL;DR: This review paper addresses the so called geometric multiscale approach for the numerical simulation of blood flow problems, from its origin (that the authors can collocate in the second half of '90s) to their days, and details the most popular numerical algorithms for the solution of the coupled problems.
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