Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification

BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning have markedly improved automated processing, but hav...

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Detalles Bibliográficos
Autores principales: Bratt, Alex, Kim, Jiwon, Pollie, Meridith, Beecy, Ashley N., Tehrani, Nathan H., Codella, Noel, Perez-Johnston, Rocio, Palumbo, Maria Chiara, Alakbarli, Javid, Colizza, Wayne, Drexler, Ian R., Azevedo, Clerio F., Kim, Raymond J., Devereux, Richard B., Weinsaft, Jonathan W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322266/
https://www.ncbi.nlm.nih.gov/pubmed/30612574
http://dx.doi.org/10.1186/s12968-018-0509-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322266/
https://www.ncbi.nlm.nih.gov/pubmed/30612574
http://dx.doi.org/10.1186/s12968-018-0509-0

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