Machine learning for the automatic assessment of aortic rotational flow and wall shear stress from 4D flow cardiac magnetic resonance imaging.

Objective: Three-dimensional (3D) time-resolved phase-contrast cardiac magnetic resonance (4D flow CMR) allows for unparalleled quantification of blood velocity. Despite established potential in aortic diseases, the analysis is time-consuming and requires expert knowledge, hindering clinical applica...

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Publicado en:	European Radiology Vol. 32; no. 10; pp. 7117 - 7128
Autores principales:	Garrido-Oliver, Juan, Aviles, Jordina, Córdova, Marcos Mejía, Dux-Santoy, Lydia, Ruiz-Muñoz, Aroa, Teixido-Tura, Gisela, Maso Talou, Gonzalo D., Morales Ferez, Xabier, Jiménez, Guillermo, Evangelista, Arturo, Ferreira-González, Ignacio, Rodriguez-Palomares, Jose, Camara, Oscar, Guala, Andrea
Formato:	diagnostic images pictorial research tables/charts Journal Article
Publicado:	Springer Nature Oct2022
Acceso en línea:	Ver este registro en EBSCOhost