Partial volume mapping using magnetic resonance fingerprinting.
quantitative MRI
tissue fractions
tissue mapping
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
05 2019
05 2019
Historique:
received:
17
05
2018
revised:
21
01
2019
accepted:
23
01
2019
pubmed:
2
3
2019
medline:
18
12
2019
entrez:
2
3
2019
Statut:
ppublish
Résumé
Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that maps multiple tissue properties through pseudorandom signal excitation and dictionary-based reconstruction. The aim of this study is to estimate and validate partial volumes from MRF signal evolutions (PV-MRF), and to characterize possible sources of error. Partial volume model inversion (pseudoinverse) and dictionary-matching approaches to calculate brain tissue fractions (cerebrospinal fluid, gray matter, white matter) were compared in a numerical phantom and seven healthy subjects scanned at 3 T. Results were validated by comparison with ground truth in simulations and ROI analysis in vivo. Simulations investigated tissue fraction errors arising from noise, undersampling artifacts, and model errors. An expanded partial volume model was investigated in a brain tumor patient. PV-MRF with dictionary matching is robust to noise, and estimated tissue fractions are sensitive to model errors. A 6% error in pure tissue T
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4082Subventions
Organisme : NIH HHS
ID : R01HL094557
Pays : United States
Organisme : NIBIB NIH HHS
ID : R21 EB026764
Pays : United States
Organisme : NIH HHS
ID : R01EB017219
Pays : United States
Organisme : Siemens Healthineers
Pays : International
Organisme : NIH HHS
ID : R01EB016728
Pays : United States
Organisme : NIH HHS
ID : T32EB007509
Pays : United States
Organisme : National Science Foundation: Chemical, Bioengineering, Environmental and Transport Systems
ID : 1553441
Pays : International
Informations de copyright
© 2019 John Wiley & Sons, Ltd.