Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network

Image Quality and Diagnostic Performance of Accelerated 2D Hip MRI with Deep Learning Reconstruction Based on a Deep Iterative Hierarchical Network

Objectives: Hip MRI using standard multiplanar sequences requires long scan times. Accelerating MRI is accompanied by reduced image quality. This study aimed to compare standard two-dimensional (2D) turbo spin echo (TSE) sequences with accelerated 2D TSE sequences with deep learning (DL) reconstruct...

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Bibliographic Details
Main Authors: Judith Herrmann, Saif Afat, Sebastian Gassenmaier, Gregor Koerzdoerfer, Andreas Lingg, Haidara Almansour, Dominik Nickel, Sebastian Werner
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Diagnostics
Subjects:
magnetic resonance imaging
deep learning reconstruction
image processing
diagnostic imaging
hip
Online Access:https://www.mdpi.com/2075-4418/13/20/3241

Internet

https://www.mdpi.com/2075-4418/13/20/3241

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