Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data

INTRODUCTION: Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control and manual localization of the region of interest (ROI) of ascending (AA) and p...

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Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: Biasiolli, Luca, Hann, Evan, Lukaschuk, Elena, Carapella, Valentina, Paiva, Jose M., Aung, Nay, Rayner, Jennifer J., Werys, Konrad, Fung, Kenneth, Puchta, Henrike, Sanghvi, Mihir M., Moon, Niall O., Thomson, Ross J., Thomas, Katharine E., Robson, Matthew D., Grau, Vicente, Petersen, Steffen E., Neubauer, Stefan, Piechnik, Stefan K.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2019
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6375606/
https://ncbi.nlm.nih.gov/pubmed/30763349
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0212272
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