Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T – Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction

Advanced deep learning-based image reconstruction in lumbar spine MRI at 0.55 T – Effects on image quality and acquisition time in comparison to conventional deep learning-based reconstruction

Objectives: To evaluate an optimized deep leaning-based image post-processing technique in lumbar spine MRI at 0.55 T in terms of image quality and image acquisition time. Materials and methods: Lumbar spine imaging was conducted on 18 patients using a 0.55 T MRI scanner, employing conventional (CDL...

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Bibliographic Details
Main Authors: Felix Schlicht, Jan Vosshenrich, Ricardo Donners, Alina Carolin Seifert, Matthias Fenchel, Dominik Nickel, Markus Obmann, Dorothee Harder, Hanns-Christian Breit
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:European Journal of Radiology Open
Subjects:
Lumbar Vertebrae
Magnetic Resonance Imaging
Deep Learning
Image Processing
Computer-Assisted
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047724000224

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http://www.sciencedirect.com/science/article/pii/S2352047724000224

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