scholarly journals Four-dimensional Flow Magnetic Resonance Imaging Quantification of Blood Flow in Bicuspid Aortic Valve

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Daniel Z. Gordon ◽  
Muhannad A. Abbasi ◽  
Jeesoo Lee ◽  
Roberto Sarnari ◽  
Alireza Sojoudi ◽  
...  
2017 ◽  
Vol 26 (1) ◽  
pp. 28-37 ◽  
Author(s):  
Claire M Lawley ◽  
Kathryn M Broadhouse ◽  
Fraser M Callaghan ◽  
David S Winlaw ◽  
Gemma A Figtree ◽  
...  

Imaging-based evaluation of cardiac structure and function remains paramount in the diagnosis and monitoring of congenital heart disease in childhood. Accurate measurements of intra- and extracardiac hemodynamics are required to inform decision making, allowing planned timing of interventions prior to deterioration of cardiac function. Four-dimensional flow magnetic resonance imaging is a nonionizing noninvasive technology that allows accurate and reproducible delineation of blood flow at any anatomical location within the imaging volume of interest, and also permits derivation of physiological parameters such as kinetic energy and wall shear stress. Four-dimensional flow is the focus of a great deal of attention in adult medicine, however, the translation of this imaging technique into the pediatric population has been limited to date. A more broad-scaled application of 4-dimensional flow in pediatric congenital heart disease stands to increase our fundamental understanding of the cause and significance of abnormal blood flow patterns, may improve risk stratification, and inform the design and use of surgical and percutaneous correction techniques. This paper seeks to outline the application of 4-dimensional flow in the assessment and management of the pediatric population affected by congenital heart disease.


Author(s):  
Joy Edlin ◽  
Justin Nowell ◽  
Chris Arthurs ◽  
Alberto Figueroa ◽  
Marjan Jahangiri

Abstract Background Modern imaging techniques provide evermore-detailed anatomical and physiological information for use in computational fluid dynamics to predict the behaviour of physiological phenomena. Computer modelling can help plan suitable interventions. Our group used magnetic resonance imaging and computational fluid dynamics to study the haemodynamic variables in the ascending aorta in patients with bicuspid aortic valve before and after isolated tissue aortic valve replacement. Computer modelling requires turning a physiological model into a mathematical one, solvable by equations that undergo multiple iterations in four dimensions. Creating these models involves several steps with manual inputs, making the process prone to errors and limiting its inter- and intra-operator reproducibility. Despite these challenges we created computational models for each patient to study ascending aorta blood flow before and after surgery. Method Magnetic resonance imaging provided the anatomical and velocity data required for the blood flow simulation. Patient-specific in- and outflow boundary conditions were used for the computational fluid dynamics analysis. Results Haemodynamic variables pertaining to blood flow pattern and derived from the magnetic resonance imaging data were calculated. However, we encountered problems in our multi-step methodology, most notably processing the flow data. This meant that other variables requiring computation with computational fluid dynamics could not be calculated. Conclusion Creating a model for computational fluid dynamics analysis is as complex as the physiology under scrutiny. We discuss some of the difficulties associated with creating such models, along with suggestions for improvements in order to yield reliable and beneficial results.


2011 ◽  
Vol 108 (1) ◽  
pp. 81-87 ◽  
Author(s):  
Giovanni Donato Aquaro ◽  
Lamia Ait-Ali ◽  
Maira Levorato Basso ◽  
Massimo Lombardi ◽  
Alessandro Pingitore ◽  
...  

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