Multi T1-weighted contrast MRI with fluid and white matter suppression at 1.5 T.


Journal

Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883

Informations de publication

Date de publication:
11 2019
Historique:
received: 03 05 2019
revised: 11 08 2019
accepted: 15 08 2019
pubmed: 20 8 2019
medline: 23 4 2020
entrez: 20 8 2019
Statut: ppublish

Résumé

The fluid and white matter suppression sequence (FLAWS) provides two T1-weighted co-registered datasets: a white matter (WM) suppressed contrast (FLAWS1) and a cerebrospinal fluid (CSF) suppressed contrast (FLAWS2). FLAWS has the potential to improve the contrast of the subcortical brain regions that are important for Deep Brain Stimulation surgery planning. However, to date FLAWS has not been optimized for 1.5 T. In this study, the FLAWS sequence was optimized for use at 1.5 T. In addition, the contrast-enhancement properties of FLAWS image combinations were investigated using two voxel-wise FLAWS combined images: the division (FLAWS-div) and the high contrast (FLAWS-hc) image. FLAWS sequence parameters were optimized for 1.5 T imaging using an approach based on the use of a profit function under constraints for brain tissue signal and contrast maximization. MR experiments were performed on eleven healthy volunteers (age 18-30). Contrast (CN) and contrast to noise ratio (CNR) between brain tissues were measured in each volunteer. Furthermore, a qualitative assessment was performed to ensure that the separation between the internal globus pallidus (GPi) and the external globus pallidus (GPe) is identifiable in FLAWS1. The optimized set of sequence parameters for FLAWS at 1.5 T provided contrasts similar to those obtained in a previous study at 3 T. The separation between the GPi and the GPe was clearly identified in FLAWS1. The CN of FLAWS-hc was higher than that of FLAWS1 and FLAWS2, but was not different from the CN of FLAWS-div. The CNR of FLAWS-hc was higher than that of FLAWS-div. Both qualitative and quantitative assessments validated the optimization of the FLAWS sequence at 1.5 T. Quantitative assessments also showed that FLAWS-hc provides an enhanced contrast compared to FLAWS1 and FLAWS2, with a higher CNR than FLAWS-div.

Identifiants

pubmed: 31425812
pii: S0730-725X(19)30287-5
doi: 10.1016/j.mri.2019.08.010
pii:
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

217-225

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Auteurs

J Beaumont (J)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI-UMR1099, F-35000 Rennes, France; CSIRO, the Australian eHealth Research Centre, Herston, Queensland, Australia. Electronic address: jeremy.beaumont.2@gmail.com.

H Saint-Jalmes (H)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI-UMR1099, F-35000 Rennes, France.

O Acosta (O)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI-UMR1099, F-35000 Rennes, France.

T Kober (T)

Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland; Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland; LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

M Tanner (M)

Invicro, A Konica Minolta Company, London, UK.

J C Ferré (JC)

Univ Rennes, Inria, CNRS, INSERM, IRISA, VISAGES ERL U-1228, F-35000 Rennes, France; CHU Rennes, Department of Neuroradiology, F-35033 Rennes, France.

O Salvado (O)

CSIRO, Data61, Herston, Queensland, Australia.

J Fripp (J)

CSIRO, the Australian eHealth Research Centre, Herston, Queensland, Australia.

G Gambarota (G)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI-UMR1099, F-35000 Rennes, France.

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