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Towards the improved quantification of in vivo abnormal wall shear stresses in BAV-affected patients from 4D-flow imaging: Benchmarking and application to real data

Gorde:
Argitaratua izan da:Journal of Biomechanics vol. 50 (2017), p. 93
Egile nagusia: Piatti, F
Beste egile batzuk: Pirola, S, Bissell, M, Nesteruk, I, Sturla, F, A Della Corte, Redaelli, A, Votta, E
Argitaratua:
Elsevier Limited
Gaiak:
Velocity
Noise
Datasets
Fluid-structure interaction
Disease
Nuclear magnetic resonance > NMR
Coronary vessels
Congenital diseases
Neonates
Blood flow
Image processing
Computer applications
Rupture
Hemodynamics
Gating
Anatomy
Mechanical stimuli
Thorax
Aortic valve
Aneurysm
Respiration
Magnetic resonance imaging
Aorta
Heart diseases
Age
EKG
Inflammation
Data processing
Surgery
Aortic arch
Endothelial cells
Coronary artery disease
Shear stress
In vivo methods and tests
Spatial data
Heart valves
Wall shear stresses
Biomechanics
Calcification
Spatial resolution
Computational fluid dynamics
Synthetic data
Sarrera elektronikoa:Citation/Abstract
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Laburpena:Bicuspid aortic valve (BAV), i.e. the fusion of two aortic valve cusps, is the most frequent congenital cardiac malformation. Its progression is often characterized by accelerated leaflet calcification and aortic wall dilation. These processes are likely enhanced by altered biomechanical stimuli, including fluid-dynamic wall shear stresses (WSS) acting on both the aortic wall and the aortic valve. Several studies have proposed the exploitation of 4D-flow magnetic resonance imaging sequences to characterize abnormalin vivoWSS in BAV-affected patients, to support prognosis and timing of intervention. However, current methods fail to quantify WSS peak values. On this basis, we developed two new methods for the improved quantification ofin vivoWSS acting on the aortic wall based on 4D-flow data. We tested both methods separately and in combination on synthetic datasets obtained by two computational fluid-dynamics (CFD) models of the aorta with healthy and bicuspid aortic valve. Tests highlighted the need for data spatial resolution at least comparable to current clinical guidelines, the low sensitivity of the methods to data noise, and their capability, when used jointly, to compute more realistic peak WSS values as compared to state-of-the-art methods. The integrated application of the two methods on the real 4D-flow data from a preliminary cohort of three healthy volunteers and three BAV-affected patients confirmed these indications. In particular, quantified WSS peak values were one order of magnitude higher than those reported in previous 4D-flow studies, and much closer to those computed by highly time- and space-resolved CFD simulations.
ISSN:0021-9290
1873-2380
DOI:10.1016/j.jbiomech.2016.11.044
Baliabidea:Health & Medical Collection