A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T.
Cardiac magnetic resonance
Deep learning
Low field
Low rank
Spiral
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:
29
10
2022
accepted:
01
04
2023
revised:
02
03
2023
medline:
31
7
2023
pubmed:
13
4
2023
entrez:
12
4
2023
Statut:
ppublish
Résumé
This study combines a deep image prior with low-rank subspace modeling to enable real-time (free-breathing and ungated) functional cardiac imaging on a commercial 0.55 T scanner. The proposed low-rank deep image prior (LR-DIP) uses two u-nets to generate spatial and temporal basis functions that are combined to yield dynamic images, with no need for additional training data. Simulations and scans in 13 healthy subjects were performed at 0.55 T and 1.5 T using a golden angle spiral bSSFP sequence with images reconstructed using [Formula: see text]-ESPIRiT, low-rank plus sparse (L + S) matrix completion, and LR-DIP. Cartesian breath-held ECG-gated cine images were acquired for reference at 1.5 T. Two cardiothoracic radiologists rated images on a 1-5 scale for various categories, and LV function measurements were compared. LR-DIP yielded the lowest errors in simulations, especially at high acceleration factors (R [Formula: see text] 8). LR-DIP ejection fraction measurements agreed with 1.5 T reference values (mean bias - 0.3% at 0.55 T and - 0.2% at 1.5 T). Compared to reference images, LR-DIP images received similar ratings at 1.5 T (all categories above 3.9) and slightly lower at 0.55 T (above 3.4). Feasibility of real-time functional cardiac imaging using a low-rank deep image prior reconstruction was demonstrated in healthy subjects on a commercial 0.55 T scanner.
Identifiants
pubmed: 37043121
doi: 10.1007/s10334-023-01088-w
pii: 10.1007/s10334-023-01088-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
451-464Subventions
Organisme : NHLBI NIH HHS
ID : R01HL163030
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01HL153034
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01HL163030
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01HL153034
Pays : United States
Informations de copyright
© 2023. The Author(s), under exclusive licence to European Society for Magnetic Resonance in Medicine and Biology (ESMRMB).
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