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Dive into the research topics where Giulia Soloperto is active.

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Featured researches published by Giulia Soloperto.


Computer Methods in Biomechanics and Biomedical Engineering | 2015

Flow pattern analysis in a highly stenotic patient-specific carotid bifurcation model using a turbulence model.

Zhi-Yong Li; F. P. P. Tan; Giulia Soloperto; Nigel B. Wood; Xiao Yun Xu; Jonathan H. Gillard

The aim of this study is to investigate the blood flow pattern in carotid bifurcation with a high degree of luminal stenosis, combining in vivo magnetic resonance imaging (MRI) and computational fluid dynamics (CFD). A newly developed two-equation transitional model was employed to evaluate wall shear stress (WSS) distribution and pressure drop across the stenosis, which are closely related to plaque vulnerability. A patient with an 80% left carotid stenosis was imaged using high resolution MRI, from which a patient-specific geometry was reconstructed and flow boundary conditions were acquired for CFD simulation. A transitional model was implemented to investigate the flow velocity and WSS distribution in the patient-specific model. The peak time-averaged WSS value of approximately 73 Pa was predicted by the transitional flow model, and the regions of high WSS occurred at the throat of the stenosis. High oscillatory shear index values up to 0.50 were present in a helical flow pattern from the outer wall of the internal carotid artery immediately after the throat. This study shows the potential suitability of a transitional turbulent flow model in capturing the flow phenomena in severely stenosed carotid arteries using patient-specific MRI data and provides the basis for further investigation of the links between haemodynamic variables and plaque vulnerability. It may be useful in the future for risk assessment of patients with carotid disease.


international conference on biomedical engineering | 2008

Advanced Computational Models for Disturbed and Turbulent Flow in Stenosed Human Carotid Artery Bifurcation

F. P. P. Tan; Giulia Soloperto; Nigel B. Wood; Simon Thom; Alun D. Hughes; Xiao Yun Xu

In this study, newly developed two-equation transitional and turbulence models are employed for the prediction of blood flow patterns in diseased carotid artery where the growth, progression and structure of plaque at rupture are closely linked to low and oscillating wall shear stresses. Moreover, laminar-turbulent transition in the post-stenotic zone can alter the separation zone length, wall shear stress and pressure distribution over the plaque, with potential implications for stresses within the plaque. A separate validation study was carried out with well established experimental measurements and numerical studies. Laminar flow, Menter’s hybrid k-e/k-ω Shear Stress Transport model and its transitional version were implemented in pulsatile simulations from which analyses of velocity profiles, wall shear stress and turbulence intensity were conducted. It was found that the transitional version of SST gave better overall agreement with experimental data for pulsatile flow in an axisymmetric stenosed tube and this is further highlighted in the patient-specific geometry simulation results. A magnetic-resonance (MR) image based model of the carotid bifurcation with 70% stenosis was reconstructed and simulated using patient-specific boundary conditions. The laminar flow assumption was found to be inadequate when the differences occurred in the wall shear stress analysis of the patient-derived model.


ASME 2009 Summer Bioengineering Conference, Parts A and B | 2009

Plaque Rupture in the Carotid Artery: A Combined Imaging, Computational and Histological Analysis

Giulia Soloperto; Niall G. Keenan; Mary N. Sheppard; Nigel B. Wood; Dudley J. Pennell; Raad H. Mohiaddin; Xiao Yun Xu

Cerebro-vascular events are often related to the rupture of vulnerable atherosclerotic plaques and thrombus formation in the carotid arteries. Haemodynamically significant stenoses experience increased wall shear stress (WSS) in the entrance region but in the post-stenotic region, instead the flow decelerates and tends to become unstable, with separation and recirculation. The high WSS tends to promote processes leading to matrix degradation, with potential rupture, whilst processes stimulated in the post-stenotic zone might be expected to promote further plaque development [1].Copyright


European Journal of Mechanics B-fluids | 2012

Shear-induced platelet activation and its relationship with blood flow topology in a numerical model of stenosed carotid bifurcation

Diana Nada Caterina Massai; Giulia Soloperto; Diego Gallo; Xiao Yun Xu; Umberto Morbiducci


Artery Research | 2010

Combined imaging, computational and histological analysis of a ruptured carotid plaque: A patient-specific analysis

Giulia Soloperto; Niall G. Keenan; Mary N. Sheppard; Jacques Ohayon; Nigel B. Wood; Dudley J. Pennell; Raad H. Mohiaddin; Xiao Yun Xu


Journal of Biomechanics | 2008

CFD STUDY ON FLOW DISTURBANCE IN A STENOSED CAROTID ARTERY BIFURCATION

F. P. P. Tan; Giulia Soloperto; Sally Bashford; Nigel B. Wood; Simon Thom; Alun D. Hughes; Xiao Yun Xu


Institute of Health and Biomedical Innovation; Science & Engineering Faculty | 2015

Flow pattern analysis in a highly stenotic patient-specific carotid bifurcation model using a turbulence model

Zhi-Yong Li; F. P. P. Tan; Giulia Soloperto; Nigel B. Wood; Xiao Yun Xu; Jonathan H. Gillard


Archive | 2010

Numeric Prediction of Platelet Activation In Stenosed Carotid Bifurcations

Diana Nada Caterina Massai; Giulia Soloperto; Alberto Redaelli; Franco Maria Montevecchi; Y. Xu; Umberto Morbiducci


Archive | 2010

Prediction of shear-induced activation of platelets in a stenosed carotid bifurcation

Diana Nada Caterina Massai; Giulia Soloperto; Umberto Morbiducci; Alberto Redaelli; Y. Xu


Journal of Biomechanics | 2008

MRI BASED RECONSTRUCTION OF PLAQUE STRUCTURE AND ITS RELATIONS TO SHEAR STRESS IN A PATIENT-SPECIFIC IN VIVO STUDY

Giulia Soloperto; Niall G. Keenan; Joseph J. Boyle; Nigel B. Wood; Dudley J. Pennell; Raad H. Mohiaddin; Yun Xu

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Xiao Yun Xu

Imperial College London

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F. P. P. Tan

Imperial College London

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Alun D. Hughes

University College London

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Raad H. Mohiaddin

National Institutes of Health

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Simon Thom

Imperial College London

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