Unlocking the Non-invasive Assessment of Conduit and Reservoir Function in the Aorta

Figures

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  Fig. 1. Methodological overview to extract the conduit and reservoir functions of a vascular segment. A Acquisition of 4D flow MRI data. B Anatomical segmentation from images of peak systolic velocity magnitude. C Subdivision of the aorta into 4 segments and extraction of shape metrics (centreline, curvature, diameter). D Flow velocity vectors and magnitude iso-contours reconstructed from PC-MRI data. E Extraction of descriptors of conduit and reservoir function

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  Fig. 2. Averaged values by aortic segment for the total (ΔPtot), kinetic (ΔPkin) and advective (ΔPadv) pressure differences and viscous energy loss rate in HLHS and AM groups. A positive pressure difference indicates a larger pressure in the entry than in the exit plane of a segment, corresponding to a temporal flow acceleration (for ΔPkin) or to a larger momentum in the exit than in the entry plane (for ΔPadv). The shaded areas indicate 95% confidence intervals

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  Fig. 3. Spatial variations between aortic root (0 mm) and mid-DA2 (~ 160 mm) in peak systolic advective pressure differences (A) and diameter (B) for conduit function analysis and in pulse wave velocity (C) and elastic module (D) for reservoir function analysis. The shaded areas indicate 95% confidence intervals