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DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

2021-01-07

Abstract excerpt

Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data could provide a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular ejection fraction, but sources of variation including segmentation and motion estimation have limited its wide clinical use. We designed and validated a deep learning (DL) workflow to generate both volumetric par...

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Identifiers and source

Literature Corpus work
5590f698-f8f7-5d35-96a7-2ed0b16243ec
DOI
10.1101/2021.01.05.425266
Open publication

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DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac MechanicsDOI 10.1101/2021.01.05.425266
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