Automated aortic segmentation in 4D flow MRI is essential for reproducible hemodynamic assessment but is limited by scarce dense annotations and high computational demands. We developed a fully automated 4D (3D+time) U-Net for segmenting the ascending aorta, arch, and proximal descending aorta, using a parameter-effici...
Hinrich Rahlfs, Julio Garcia, C. Manini et al.· 0 citations
Combined CPET and cardiac RT-MRI using the presented user- and participant-friendly setup enables integrated assessment of cardiopulmonary performance and cardiovascular function during submaximal exercise and provides physiologically plausible Fick-derived measures of oxygen transport and utilization.
L. Röwer, Duy Tam Vu, M. A. Goundi et al.· Frontiers in Cardiovascular...· 0 citations
This document addresses the needs for an "ideal" post-processing software for 4D flow in patients with CHD and provides information on general requirements, velocity encoding, offset and aliasing correction, visualization, segmentation and reconstruction as well as output data.
Julio Garcia, J. Geiger, Adam B. Christopher et al.· Journal of Cardiovascular Ma...· 0 citations
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