In vivo magnetic resonance
LCModel
convolutional neural network
deep learning
in vivo
phosphorus magnetic resonance spectroscopy
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
revised:
16
08
2022
received:
20
04
2022
accepted:
18
08
2022
pubmed:
27
9
2022
medline:
2
11
2022
entrez:
26
9
2022
Statut:
ppublish
Résumé
We have introduced an artificial intelligence framework, 31P-SPAWNN, in order to fully analyze phosphorus-31 ( Convolutional neural network architectures have been proposed for the analysis and quantification of The presented experiment has demonstrated both the reliability and accuracy of 31P-SPAWNN for estimating metabolite concentrations and spectral parameters. Simulated test data showed improved quantification using 31P-SPAWNN compared with LCModel. In vivo data analysis revealed higher accuracy at low signal-to-noise ratio using 31P-SPAWNN, yet with equivalent precision. Processing time using 31P-SPAWNN can be further shortened up to two orders of magnitude. The accuracy, reliability, and computational speed of the method open new perspectives for integrating these applications in a clinical setting.
Identifiants
pubmed: 36161342
doi: 10.1002/mrm.29446
pmc: PMC9828468
doi:
Substances chimiques
Phosphorus
27YLU75U4W
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
40-53Informations de copyright
© 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
Références
NMR Biomed. 2003 Oct-Nov;16(6-7):400-12
pubmed: 14679502
Proc Natl Acad Sci U S A. 2014 Oct 28;111(43):E4560-7
pubmed: 25313036
Magn Reson Med. 2001 May;45(5):817-26
pubmed: 11323808
Magn Reson Med. 2018 Sep;80(3):851-863
pubmed: 29388313
Exp Mol Med. 2015 Feb 06;47:e139
pubmed: 25656949
Nat Commun. 2021 Sep 1;12(1):5229
pubmed: 34471142
Front Nutr. 2018 Jul 12;5:62
pubmed: 30050907
Nat Rev Urol. 2019 Jul;16(7):391-403
pubmed: 31092914
NMR Biomed. 2016 Dec;29(12):1825-1834
pubmed: 27862510
Magn Reson Med. 2020 Oct;84(4):1689-1706
pubmed: 32141155
Magn Reson Med. 2020 Feb;83(2):377-390
pubmed: 31483526
Z Med Phys. 2019 May;29(2):102-127
pubmed: 30553609
NMR Biomed. 2000 May;13(3):129-53
pubmed: 10861994
PeerJ Comput Sci. 2021 Jul 5;7:e623
pubmed: 34307865
J Neuroradiol. 2022 Sep;49(5):370-379
pubmed: 34871672
Analyst. 2017 Oct 23;142(21):4067-4074
pubmed: 28993828
NMR Biomed. 2015 Nov;28(11):1455-62
pubmed: 26404723
Magn Reson Med. 2023 Jan;89(1):40-53
pubmed: 36161342
NMR Biomed. 2001 Jun;14(4):260-4
pubmed: 11410943
Magn Reson Med. 1993 Dec;30(6):672-9
pubmed: 8139448
NMR Biomed. 2002 Aug;15(5):338-47
pubmed: 12203225
Magn Reson Med. 2008 Oct;60(4):796-802
pubmed: 18816829
AJR Am J Roentgenol. 2019 Feb;212(2):280-292
pubmed: 30601029
Sci Rep. 2021 Apr 22;11(1):8727
pubmed: 33888805
Magn Reson Imaging. 2006 Dec;24(10):1281-6
pubmed: 17145398
Front Cardiovasc Med. 2020 Feb 25;7:17
pubmed: 32158767
J Med Imaging (Bellingham). 2019 Jan;6(1):014006
pubmed: 30944843
IEEE Trans Med Imaging. 2020 Mar;39(3):545-555
pubmed: 31352337
NMR Biomed. 2015 Jun;28(6):633-41
pubmed: 25871439
Magn Reson Med. 1994 Oct;32(4):453-8
pubmed: 7997109