Simultaneous comprehensive liver T 1 , T 2 , T 2 ∗ , T 1ρ , and fat fraction characterization with MR fingerprinting.

Autor: Velasco C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Cruz G; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Jaubert O; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Lavin B; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; Department of Biochemistry and Molecular Biology, School of Chemistry, Complutense University of Madrid, Madrid, Spain., Botnar RM; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Prieto C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Jazyk: angličtina
Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2022 Apr; Vol. 87 (4), pp. 1980-1991. Date of Electronic Publication: 2021 Nov 18.
DOI: 10.1002/mrm.29089
Abstrakt: Purpose: To develop a novel simultaneous co-registered T 1 , T 2 , T 2 ∗ , T 1ρ , and fat fraction abdominal MR fingerprinting (MRF) approach for fully comprehensive liver-tissue characterization in a single breath-hold scan.
Methods: A gradient-echo liver MRF sequence with low fixed flip angle, multi-echo radial readout, and varying magnetization preparation pulses for multiparametric encoding is performed at 1.5 T. The T 2 ∗ and fat fraction are estimated from a graph/cut water/fat separation method using a six-peak fat model. Water/fat singular images obtained are then matched to an MRF dictionary, estimating water-specific T 1 , T 2 , and T 1ρ . The proposed approach was tested in phantoms and 10 healthy subjects and compared against conventional sequences.
Results: For the phantom studies, linear fits show excellent coefficients of determination (r 2 > 0.9) for every parametric map. For in vivo studies, the average values measured within regions of interest drawn on liver, spleen, muscle, and fat are statistically different from the reference scans (p < 0.05) for T 1 , T 2 , and T 1⍴ but not for T 2 ∗ and fat fraction, whereas correlation between MRF and reference scans is excellent for each parameter (r 2 > 0.92 for every parameter).
Conclusion: The proposed multi-echo inversion-recovery, T 2 , and T 1⍴ prepared liver MRF sequence presented in this work allows for quantitative T 1 , T 2 , T 2 ∗ , T 1⍴ , and fat fraction liver-tissue characterization in a single breath-hold scan of 18 seconds. The approach showed good agreement and correlation with respect to reference clinical maps.
(© 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
Databáze: MEDLINE
Externí odkaz: