Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence.
Deep learning
Liver neoplasms
Magnetic resonance imaging
Journal
Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499
Informations de publication
Date de publication:
Oct 2022
Oct 2022
Historique:
received:
13
04
2022
revised:
27
04
2022
accepted:
02
05
2022
pubmed:
22
5
2022
medline:
5
10
2022
entrez:
21
5
2022
Statut:
ppublish
Résumé
Acceleration of MRI acquisitions and especially of T2-weighted sequences is essential to reduce the duration of MRI examinations but also kinetic artifacts in liver imaging. The purpose of this study was to compare the acquisition time and the image quality of a single-shot fat-suppressed turbo spin-echo (TSE) T2-weighted sequence with deep learning reconstruction (HASTE Ninety-five patients (52 men, 43 women; mean age: 61 ± 14 [SD]; age range: 28-87 years) with 42 focal liver lesions (17 hepatocellular carcinomas, 10 sarcoidosis lesions, 9 myeloma lesions, 3 liver metastases and 3 focal nodular hyperplasias) who underwent liver MRI at 1.5 T including HASTE Median overall quality on HASTE By comparison with the BLADE sequence, HASTE
Identifiants
pubmed: 35597761
pii: S2211-5684(22)00091-2
doi: 10.1016/j.diii.2022.05.001
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
479-485Informations de copyright
Copyright © 2022 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest Three authors (A.M., M.D.N. and K.A.) are Siemens Healthcare employees. The remaining authors had control of inclusion of all data and information that might present a conflict of interest for authors who are employees for Siemens Healthcare.