Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALAS.
3D-QALAS
low-rank subspace
multiparametric mapping
quantitative MRI
zero-shot learning
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:
28 Jan 2024
28 Jan 2024
Historique:
revised:
15
12
2023
received:
03
07
2023
accepted:
06
01
2024
medline:
29
1
2024
pubmed:
29
1
2024
entrez:
29
1
2024
Statut:
aheadofprint
Résumé
To develop and evaluate methods for (1) reconstructing 3D-quantification using an interleaved Look-Locker acquisition sequence with T A low-rank subspace method for 3D-QALAS (i.e., subspace QALAS) and zero-shot deep-learning subspace method (i.e., Zero-DeepSub) were proposed for rapid and high fidelity T Phantom experiments showed that subspace QALAS had good linearity with respect to the reference methods while reducing biases and improving precision compared to conventional QALAS, especially for T The proposed subspace QALAS along with Zero-DeepSub enabled high fidelity and rapid whole-brain multiparametric quantification and time-resolved imaging.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIH HHS
ID : P41 EB030006
Pays : United States
Organisme : NIH HHS
ID : R01 EB028797
Pays : United States
Organisme : NIH HHS
ID : R01 EB032378
Pays : United States
Organisme : NIH HHS
ID : R03 EB031175
Pays : United States
Organisme : NIH HHS
ID : U01 DA055353
Pays : United States
Organisme : NIH HHS
ID : U01 EB026996
Pays : United States
Organisme : NIH HHS
ID : UG3 EB034875
Pays : United States
Informations de copyright
© 2024 International Society for Magnetic Resonance in Medicine.
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