Fully-automated deep learning-based flow quantification of 2D CINE phase contrast MRI

OBJECTIVES: Time-resolved, 2D-phase-contrast MRI (2D-CINE-PC-MRI) enables in vivo blood flow analysis. However, accurate vessel contour delineation (VCD) is required to achieve reliable results. We sought to evaluate manual analysis (MA) compared to the performance of a deep learning (DL) applicatio...

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Detalles Bibliográficos
Autores principales: Pradella, Maurice, Scott, Michael B., Omer, Muhammad, Hill, Seth K., Lockhart, Lisette, Yi, Xin, Amir-Khalili, Alborz, Sojoudi, Alireza, Allen, Bradley D., Avery, Ryan, Markl, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Magnetic Resonance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935671/
https://www.ncbi.nlm.nih.gov/pubmed/36307551
http://dx.doi.org/10.1007/s00330-022-09179-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935671/
https://www.ncbi.nlm.nih.gov/pubmed/36307551
http://dx.doi.org/10.1007/s00330-022-09179-3

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