Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.
cardiac T1 mapping
cardiac extracellular volume (ECV) mapping
linear tangent space alignment (LTSA)
manifold 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:
14 Oct 2024
14 Oct 2024
Historique:
revised:
27
07
2024
received:
23
04
2024
accepted:
20
08
2024
medline:
15
10
2024
pubmed:
15
10
2024
entrez:
14
10
2024
Statut:
aheadofprint
Résumé
To develop a new method for free-breathing 3D extracellular volume (ECV) mapping of the whole heart at 3 T. A free-breathing 3D cardiac ECV mapping method was developed at 3 T. T The feasibility of the proposed method was demonstrated using in vivo studies with six healthy volunteers at 3 T. We obtained 3D ECV maps at a spatial resolution of 1.9 × 1.9 × 4.5 mm The proposed method allows for free-breathing 3D ECV mapping of the whole heart within a practically feasible imaging time. The estimated ECV values from the proposed method were comparable to those from the existing method.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Institutes of Health (NIH)
ID : K01EB030045
Organisme : National Institutes of Health (NIH)
ID : P41EB022544
Organisme : National Institutes of Health (NIH)
ID : R01CA165221
Organisme : National Institutes of Health (NIH)
ID : R01EB033582
Organisme : National Institutes of Health (NIH)
ID : R01EB035093
Organisme : National Institutes of Health (NIH)
ID : R01HL137230
Organisme : National Institutes of Health (NIH)
ID : T32EB013180
Informations de copyright
© 2024 International Society for Magnetic Resonance in Medicine.
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