Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction.
Deep Learning
Lumbosacral Plexus
Magnetic Resonance Imaging
Peripheral Nerves
Journal
Skeletal radiology
ISSN: 1432-2161
Titre abrégé: Skeletal Radiol
Pays: Germany
ID NLM: 7701953
Informations de publication
Date de publication:
22 Feb 2024
22 Feb 2024
Historique:
received:
07
01
2024
accepted:
02
02
2024
revised:
31
01
2024
medline:
22
2
2024
pubmed:
22
2
2024
entrez:
22
2
2024
Statut:
aheadofprint
Résumé
To evaluate the impact of deep learning (DL) reconstruction in enhancing image quality and nerve conspicuity in LSP MRN using DESS sequences. Additionally, a geometric image combination (GIC) method to improve DESS signals' combination was proposed. Adult patients undergoing 3.0 Tesla LSP MRN with DESS were prospectively enrolled. The 3D DESS echoes were separately reconstructed with and without DL and DL-GIC combined reconstructions. In a subset of patients, 3D T2-weighted short tau inversion recovery (STIR-T Forty patients (22 females; mean age = 48.6 ± 18.5 years) were enrolled. Quantitatively, 'DESS GIC DL' demonstrated superior relative SNR (p < 0.001), while 'DESS S Application of a DL reconstruction with geometric image combination in DESS MRN improves nerve conspicuity of the LSP, especially for its smaller branch nerves.
Identifiants
pubmed: 38386108
doi: 10.1007/s00256-024-04613-7
pii: 10.1007/s00256-024-04613-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s), under exclusive licence to International Skeletal Society (ISS).
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