Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging

Purpose: We aimed to design and evaluate a deep learning-based method to automatically predict the time-varying in-plane blood flow velocity within the cardiac cavities in long-axis cine MRI, validated against 4D flow. Methods: A convolutional neural network (CNN) was implemented, taking cine MRI as...

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Detalles Bibliográficos
Autores principales: Sun, Xiaowu, Cheng, Li-Hsin, Plein, Sven, Garg, Pankaj, Moghari, Mehdi H., van der Geest, Rob J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160163/
https://www.ncbi.nlm.nih.gov/pubmed/36763209
http://dx.doi.org/10.1007/s10554-023-02804-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160163/
https://www.ncbi.nlm.nih.gov/pubmed/36763209
http://dx.doi.org/10.1007/s10554-023-02804-2

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