Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects

Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects

Compressed sensing accelerates magnetic resonance imaging (MRI) acquisition by undersampling of the k-space. Yet, excessive undersampling impairs image quality when using conventional reconstruction techniques. Deep-learning-based reconstruction methods might allow for stronger undersampling and thu...

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Bibliographic Details
Main Authors: Philipp Fervers, Charlotte Zaeske, Philip Rauen, Andra-Iza Iuga, Jonathan Kottlors, Thorsten Persigehl, Kristina Sonnabend, Kilian Weiss, Grischa Bratke
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Diagnostics
Subjects:
magnetic resonance imaging
artificial intelligence
image processing
computer-assisted
Online Access:https://www.mdpi.com/2075-4418/13/3/418

Internet

https://www.mdpi.com/2075-4418/13/3/418

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