Abstract
Background 4D flow magnetic resonance imaging appears as a reliable tool for blood flow quantification. However, in patients with transposition of the great arteries corrected by arterial switch, the choice of a high velocity encoding (venc) to avoid velocity aliasing due to pulmonary stenosis, could decrease the accuracy of blood flow quantification in vessels such as superior or inferior vena cava (SVC, IVC) and atrio-ventricular valve (AVV) when blood velocities are lower. Moreover, such accuracy of blood flow estimates can further be influenced by user experience in cardiac imaging due to manual intervention for 3D segmentation process of cardiac structures and correction of background phase offset. Our aim was to investigate the accuracy and inter observer variability of quantitative MR 4D flow estimates in patients with transposition of the great arteries corrected by arterial switch (asTGA).
Highlights
Accuracy and Inter observer variability of blood flow quantification on 4D flow MRI in adult with transposition of the great arteries corrected by arterial switch
4D flow magnetic resonance imaging appears as a reliable tool for blood flow quantification
In patients with transposition of the great arteries corrected by arterial switch, the choice of a high velocity encoding to avoid velocity aliasing due to pulmonary stenosis, could decrease the accuracy of blood flow quantification in vessels such as superior or inferior vena cava (SVC, IVC) and atrio-ventricular valve (AVV) when blood velocities are lower
Summary
In patients with transposition of the great arteries corrected by arterial switch, the choice of a high velocity encoding (venc) to avoid velocity aliasing due to pulmonary stenosis, could decrease the accuracy of blood flow quantification in vessels such as superior or inferior vena cava (SVC, IVC) and atrio-ventricular valve (AVV) when blood velocities are lower. Such accuracy of blood flow estimates can further be influenced by user experience in cardiac imaging due to manual intervention for 3D segmentation process of cardiac structures and correction of background phase offset.
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