An integrated target field framework for point-of-care halbach array low-field MRI system design.
Gradient coil
Halbach array
Inverse source problem
Low-Field MRI
RF coil
System Design
Journal
Magma (New York, N.Y.)
ISSN: 1352-8661
Titre abrégé: MAGMA
Pays: Germany
ID NLM: 9310752
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
14
11
2022
accepted:
16
04
2023
revised:
18
01
2023
medline:
31
7
2023
pubmed:
20
5
2023
entrez:
19
5
2023
Statut:
ppublish
Résumé
Low-cost low-field point-of-care MRI systems are used in many different applications. System design has correspondingly different requirements in terms of imaging field-of-view, spatial resolution and magnetic field strength. In this work an iterative framework has been created to design a cylindrical Halbach-based magnet along with integrated gradient and RF coils that most efficiently fulfil a set of user-specified imaging requirements. For efficient integration, target field methods are used for each of the main hardware components. These have not been used previously in magnet design, and a new mathematical model was derived accordingly. These methods result in a framework which can design an entire low-field MRI system within minutes using standard computing hardware. Two distinct point-of-care systems are designed using the described framework, one for neuroimaging and the other for extremity imaging. Input parameters are taken from literature and the resulting systems are discussed in detail. The framework allows the designer to optimize the different hardware components with respect to the desired imaging parameters taking into account the interdependencies between these components and thus give insight into the influence of the design choices.
Identifiants
pubmed: 37208554
doi: 10.1007/s10334-023-01093-z
pii: 10.1007/s10334-023-01093-z
pmc: PMC10386967
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
395-408Informations de copyright
© 2023. The Author(s).
Références
J Magn Reson Imaging. 2020 Sep;52(3):686-696
pubmed: 31605435
Pan Afr Med J. 2018 Jul 31;30:240
pubmed: 30574259
Magn Reson Imaging. 2022 Apr;87:67-76
pubmed: 34968700
Nat Biomed Eng. 2021 Mar;5(3):229-239
pubmed: 33230306
IEEE Trans Magn. 2018 Jan;54(1):
pubmed: 29749974
J Magn Reson. 2019 Jul;304:1-6
pubmed: 31063952
Neuroimage. 2021 Sep;238:118273
pubmed: 34146712
Mult Scler Relat Disord. 2021 Jun;51:102903
pubmed: 33780808
Magn Reson Med. 2021 Jan;85(1):495-505
pubmed: 32627235
Magn Reson Med. 2022 Feb;87(2):884-895
pubmed: 34520068
J Magn Reson. 2005 Jul;175(1):103-13
pubmed: 15869890
J Magn Reson. 2020 Jan;310:106625
pubmed: 31765969
Magn Reson Med. 2022 Feb;87(2):614-628
pubmed: 34480778
J Magn Reson Imaging. 2019 Jun;49(6):1528-1542
pubmed: 30637943
Magn Reson Med. 1998 Feb;39(2):300-8
pubmed: 9469714
Nat Commun. 2021 Dec 14;12(1):7238
pubmed: 34907181
Nat Commun. 2021 Aug 25;12(1):5119
pubmed: 34433813
J Magn Reson. 2020 Oct;319:106829
pubmed: 32987217
NMR Biomed. 2023 Mar;36(3):e4846
pubmed: 36259628
Sci Rep. 2022 Apr 5;12(1):5690
pubmed: 35383255
J Magn Reson. 2019 Oct;307:106578
pubmed: 31470234
NMR Biomed. 2023 Jan;36(1):e4825
pubmed: 36097704
J Magn Reson. 2011 Jan;208(1):27-33
pubmed: 21036637
J Magn Reson. 2011 Dec;213(2):329-43
pubmed: 22152352
AJNR Am J Neuroradiol. 2022 May;43(5):670-674
pubmed: 35450856
JAMA Neurol. 2020 Sep 08;:
pubmed: 32897296
Magn Reson Med. 1999 Jan;41(1):103-12
pubmed: 10025617
Invest Radiol. 2021 Nov 1;56(11):669-679
pubmed: 34292257
Magn Reson Med. 1998 Oct;40(4):582-91
pubmed: 9771575
J Magn Reson. 2016 Apr;265:83-9
pubmed: 26874333