Gonzalo G Rodriguez1, Zidan Yu1,2, Lauren O'Donnell1, Liz Calderon1, Martijn A Cloos3,4, and Guillaume Madelin1,2
1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Vilcek Institute of Graduate Biomedical Sciences, NYU Langone Health, New York, NY, United States, 3Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 4ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia
Synopsis
In this work, we
assess the repeatability of proton density, T1, T2 and
sodium density maps measured with simultaneous 3D 1H MRF/23Na
MRI in the brain at 7T. We scanned seven healthy subjects three times each. The
coefficients of variation (CV) were in the range 1-3% for mean values in GM, WM
and CSF, and the intra-class correlation (ICC) was in range 0.44-0.99.
Introduction
Sodium (23Na)
MRI can reveal valuable metabolic information1 to complement
structural proton MRI or MR fingerprinting (MRF). A technique to simultaneously
acquire 23Na MRI and 1H MRF data was demonstrated
recently2, 3. In this work, we assessed the repeatability of proton
density (PD), T1, T2 maps simultaneously acquired with a
normalized sodium density image using 3D 1H MRF/23Na MRI3
in the brain at 7T.Methods
Seven healthy volunteers (3 men, 4 women,
mean age=35.7±8.2 years) were scanned three times in two sessions within a
week. In the first session, the volunteers were scanned twice, with a short
break between the scans. In the second session, the volunteers were scanned once.
The simultaneous 3D 1H MRF/23Na
MRI sequence3 is based on a stack-of-stars sampling scheme4.
Each TR (7.5ms), a non-selective 1H pulse is applied, followed by
one simultaneous readout for both nuclei (Fig.1). The images from both nuclei
have the same slice thickness. The frequency encoding gradient moments are
distributed such that we acquire a full radial trajectory for 1H
while acquiring a center-out readout for 23Na, which allows for a
factor ~2 between the 23Na and 1H resolutions since the
ratio of their gyromagnetic ratios is ~4.
The proton flip angle (FA) train starts with an
adiabatic inversion, followed by 275 non-selective excitations of variable FA
(Fig. 1). The first segment (TR 1-100) includes FA up to 20°. The second
segment (TR 101-200) contains FA up to 90°. A 50-TR delay is inserted to recover
magnetization before a 3rd segment (TR 251 ~ 325), with FA train up
to 60°. A short delay
(TR 326 ~ 500) is then added before the next inversion.
On the sodium side, a non-selective pulse with
a constant FA = 30° is applied at every other TR to reduce SAR and obtain a
larger effective gradient spoiling moment for sodium (effective TR = 15 ms).
The sodium acquisition continues throughout the whole scan without interruption
(see Fig. 1).
The 3D simultaneous 1H
MRF/23Na MRI sequence parameters were: FOV 240×240×168
mm3, 1H 160×160×56 / 23Na 84×84×56 matrix, 1H 1.5×1.5×3 mm3 / 23Na 2.85×2.85×3 mm3 resolution, 1H
TR = 7.5 ms / 23Na TR = 15 ms, 1 slab, 6
shots per slab, total scan time 21 min.
All experiments were performed
at 7T (MAGNETOM, Siemens, Erlangen, Germany) in accordance with the relevant
institutional and national guidelines for informed consent from the subjects, using
a 16-channel-Tx/Rx dual-tuned coil5 developed in-house.
The images were
reconstructed offline in MATLAB (Mathworks, Natick, MA, USA).
All images from each volunteer
were co-registered and segmented in grey matter (GM), white matter (WM), and
cerebral spinal fluid (CSF) with SPM 12 (UCL, London, UK)6. Then, we
calculated the mean value and standard deviation (SD) of the PD, T1,
T2, and 23Na density for each tissue and scan. The PD was
normalized by the value of the CSF and the 23Na density by the mean
eyes intensity.
For the statistical analysis, we
estimated the intra-subject variance (the variance between results from scans
of the same subject) and the inter-subject variance (the variance between
results from different subjects) of each measure (mean and SD). Then, we
computed the coefficient of variation7 (CV) as the square root of
the intra-subject variance (intra-var) expressed as percentage of the mean, and
the intra-class correlation8 (ICC) as the inter-subject variance
(inter-var) divided by the sum of the intra and inter variances. The CV is
considered an indicator of the utility of a measure for detecting within-subject
changes over time. An ideal set of measurements has a CV equal to 0%. The ICC
is a measure of the repeatability of the method, it has values between 0 and 1,
where higher values are associated with more repeatable measurements.Results & Discussion
Fig. 2 shows the
1H maps and 23Na images from the 3 scans of subject 1 and
Fig. 3 shows the brain segmentation for subject 1. Finally, Table 1 summarizes
the results of the statistical analysis.
The CV was lower
than 10% in 23 of the 24 statistical results (mean and SD of all 4 measurements
in 3 brain regions). The ICC was higher than 0.8 for 11 of the 12 T1
and T2 measurements, in the range of 0.65 and 0.77 for the PD
measurements and in the range of 0.44 and 0.88 for the 6 23Na
density. Hence, the method is highly repeatable for T1 and T2
measurements, while it is less robust for PD and 23Na density. This can
be due to T1 and T2 were calculated from a dictionary,
making these measurements more robust under noisy conditions9, while
PD and sodium density relied on local normalization for each scan (which make
these maps more sensitive to B0 and B1 inhomogeneities).Conclusion
In this work, we
assessed the repeatability of PD, T1, T2, and 23Na
density measured from simultaneous 3D 1H MRF/23Na MRI
acquisition over 21 scans of 7 different subjects in the brain at 7T. The overall
repeatability was good, where the estimated CV were lower than 10% for 23 of
the 24 statistical results and the ICC higher than 0.6 in 20 of the 24 statistical
results.Acknowledgements
The research
reported in this publication was supported by the NIH/NIBIB grant R01
EB026456, and performed under the rubric of the Center for Advanced
Imaging Innovation and Research, a NIBIB Biomedical Technology Resource Center
(P41 EB017183).References
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