Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection

Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection

(1) Background and Purpose: In magnetic resonance imaging (MRI) of the spine, T2-weighted (T2-w) fat-saturated (fs) images improve the diagnostic assessment of pathologies. However, in the daily clinical setting, additional T2-w fs images are frequently missing due to time constraints or motion arti...

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Bibliographic Details
Main Authors: Sarah Schlaeger, Katharina Drummer, Malek El Husseini, Florian Kofler, Nico Sollmann, Severin Schramm, Claus Zimmer, Jan S. Kirschke, Benedikt Wiestler
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
magnetic resonance imaging
spine
generative adversarial network
T2-w fat saturated images
data augmentation
Online Access:https://www.mdpi.com/2075-4418/13/5/974

Internet

https://www.mdpi.com/2075-4418/13/5/974

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