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

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

<jats:p>Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data provides a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular ejection fraction, but sources of variation including segmentation and motion estimati...

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Bibliographic Details
Main Authors: Morales, Manuel A, van den Boomen, Maaike, Nguyen, Christopher, Kalpathy-Cramer, Jayashree, Rosen, Bruce R, Stultz, Collin M, Izquierdo-Garcia, David, Catana, Ciprian
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:English
Published: Frontiers Media SA 2022
Online Access:https://hdl.handle.net/1721.1/143900

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https://hdl.handle.net/1721.1/143900

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