Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning

PURPOSE: To generate fully automated and fast 4D-flow MRI-based 3D segmentations of the aorta using deep learning for reproducible quantification of aortic flow, peak velocity, and dimensions. METHODS: A total of 1018 subjects with aortic 4D-flow MRI (528 with bicuspid aortic valve, 376 with tricusp...

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Detalhes bibliográficos
Publicado no:Magn Reson Med
Main Authors: Berhane, Haben, Scott, Michael, Elbaz, Mohammed, Jarvis, Kelly, McCarthy, Patrick, Carr, James, Malaisrie, Chris, Avery, Ryan, Barker, Alex J., Robinson, Joshua D., Rigsby, Cynthia K., Markl, Michael
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7724647/
https://ncbi.nlm.nih.gov/pubmed/32167203
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.28257
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