Fully Automated Myocardial Strain Estimation from Cardiovascular MRI–tagged Images Using a Deep Learning Framework in the UK Biobank

PURPOSE: To demonstrate the feasibility and performance of a fully automated deep learning framework to estimate myocardial strain from short-axis cardiac MRI–tagged images. MATERIALS AND METHODS: In this retrospective cross-sectional study, 4508 cases from the U.K. Biobank were split randomly into...

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Dettagli Bibliografici
Pubblicato in:Radiol Cardiothorac Imaging
Autori principali: Ferdian, Edward, Suinesiaputra, Avan, Fung, Kenneth, Aung, Nay, Lukaschuk, Elena, Barutcu, Ahmet, Maclean, Edd, Paiva, Jose, Piechnik, Stefan K., Neubauer, Stefan, Petersen, Steffen E., Young, Alistair A.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Radiological Society of North America 2020
Soggetti:
Original Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7051160/
https://ncbi.nlm.nih.gov/pubmed/32715298
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryct.2020190032
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