Reproducibility of Aorta Segmentation on 4D Flow MRI in Healthy Volunteers

Background Hemodynamic aorta parameters can be derived from 4D flow MRI, but this requires lumen segmentation. In both commercially available and research 4D flow MRI software tools, lumen segmentation is mostly (semi‐)automatically performed and subsequently manually improved by an observer. Since...

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Veröffentlicht in:	Journal of magnetic resonance imaging 2021-04, Vol.53 (4), p.1268-1279
Hauptverfasser:	Juffermans, Joe F., Westenberg, Jos J.M., Boogaard, Pieter J., Roest, Arno A.W., Assen, Hans C., Palen, Roel L.F., Lamb, Hildo J.
Format:	Artikel
Sprache:	eng
Schlagworte:	4D flow MRI Adult Algorithms Aorta Aorta - anatomy & histology aortic diameter Coefficient of variation Coronary vessels Correlation coefficient Correlation coefficients Curvature Diameters Female Field strength Healthy Volunteers Hemodynamics Humans Image processing Image Processing, Computer-Assisted - methods Image segmentation Imaging, Three-Dimensional - methods Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Mathematical analysis Observer Variation Original Research Parameters Prospective Studies repeatability Reproducibility Reproducibility of Results Retrospective Studies segmentation Software Software development tools Statistical analysis Statistical tests Surface area Thorax
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