Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice

Background: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisition times while maintaining image quality. However, the impact of different acceleration factors on diagnostic accuracy in shoulder MRI remains unexplored in clinical practice. Purpose: The purpose of...

Full description

Bibliographic Details

Published in:	Tomography
Main Authors:	Giovanni Foti, Flavio Spoto, Thomas Mignolli, Alessandro Spezia, Luigi Romano, Guglielmo Manenti, Nicolò Cardobi, Paolo Avanzi
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	magnetic resonance imaging deep learning shoulder diagnostic accuracy accelerated protocols
Online Access:	https://www.mdpi.com/2379-139X/11/4/48