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Simultaneous multi-parametric mapping of total sodium concentration, T 1 , T 2 and ADC at 7 T using a multi-contrast unbalanced SSFP.
- Source :
-
Magnetic resonance imaging [Magn Reson Imaging] 2018 Nov; Vol. 53, pp. 156-163. Date of Electronic Publication: 2018 Jul 25. - Publication Year :
- 2018
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Abstract
- Purpose: Quantifying multiple NMR properties of sodium could be of benefit to assess changes in cellular viability in biological tissues. A proof of concept of Quantitative Imaging using Configuration States (QuICS) based on a SSFP sequence with multiple contrasts was implemented to extract simultaneously 3D maps of applied flip angle (FA), total sodium concentration, T <subscript>1</subscript> , T <subscript>2</subscript> , and Apparent Diffusion Coefficient (ADC).<br />Methods: A 3D Cartesian Gradient Recalled Echo (GRE) sequence was used to acquire 11 non-balanced SSFP contrasts at a 6 × 6 × 6 mm <superscript>3</superscript> isotropic resolution with carefully-chosen gradient spoiling area, RF amplitude and phase cycling, with TR/TE = 20/3.2 ms and 25 averages, leading to a total acquisition time of 1 h 18 min. A least-squares fit between the measured and the analytical complex signals was performed to extract quantitative maps from a mono-exponential model. Multiple sodium phantoms with different compositions were studied to validate the ability of the method to measure sodium NMR properties in various conditions.<br />Results: Flip angle maps were retrieved. Relaxation times, ADC and sodium concentrations were estimated with controlled precision below 15%, and were in accordance with measurements from established methods and literature.<br />Conclusion: The results illustrate the ability to retrieve sodium NMR properties maps, which is a first step toward the estimation of FA, T <subscript>1</subscript> , T <subscript>2</subscript> , concentration and ADC of <superscript>23</superscript> Na for clinical research. With further optimization of the acquired QuICS contrasts, scan time could be reduced to be suitable with in vivo applications.<br /> (Copyright © 2018 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-5894
- Volume :
- 53
- Database :
- MEDLINE
- Journal :
- Magnetic resonance imaging
- Publication Type :
- Academic Journal
- Accession number :
- 30055291
- Full Text :
- https://doi.org/10.1016/j.mri.2018.07.012