Advances in machine learning applications for cardiovascular 4D flow MRI

Four-dimensional flow magnetic resonance imaging (MRI) has evolved as a non-invasive imaging technique to visualize and quantify blood flow in the heart and vessels. Hemodynamic parameters derived from 4D flow MRI, such as net flow and peak velocities, but also kinetic energy, turbulent kinetic ener...

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Detalles Bibliográficos
Autores principales: Peper, Eva S., van Ooij, Pim, Jung, Bernd, Huber, Adrian, Gräni, Christoph, Bastiaansen, Jessica A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780299/
https://www.ncbi.nlm.nih.gov/pubmed/36568555
http://dx.doi.org/10.3389/fcvm.2022.1052068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780299/
https://www.ncbi.nlm.nih.gov/pubmed/36568555
http://dx.doi.org/10.3389/fcvm.2022.1052068

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