Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease

Deep Learning-Based Post-Processing of Real-Time MRI to Assess and Quantify Dynamic Wrist Movement in Health and Disease

While morphologic magnetic resonance imaging (MRI) is the imaging modality of choice for the evaluation of ligamentous wrist injuries, it is merely static and incapable of diagnosing dynamic wrist instability. Based on real-time MRI and algorithm-based image post-processing in terms of convolutional...

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Bibliographic Details
Main Authors: Karl Ludger Radke, Lena Marie Wollschläger, Sven Nebelung, Daniel Benjamin Abrar, Christoph Schleich, Matthias Boschheidgen, Miriam Frenken, Justus Schock, Dirk Klee, Jens Frahm, Gerald Antoch, Simon Thelen, Hans-Jörg Wittsack, Anja Müller-Lutz
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
magnetic resonance imaging
scapholunate ligament injury
carpal instability
real-time
deep learning
dynamic instability
Online Access:https://www.mdpi.com/2075-4418/11/6/1077

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