Berk Can Acikgoz1,2,3, Cristina Sainz Martinez4,5, Adele L.C. Mackowiak1,2,6, Nils M.J. Plähn1,2,3, Yasaman Safarkhanlo2,3,7, Gabriele Bonanno1,8,9, Eva S. Peper1,2, João Jorge4,5, and Jessica A.M. Bastiaansen1,2
1Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland, 2Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland, 3Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland, 4CSEM - Swiss Center for Electronics and Microtechnology, Bern, Switzerland, 5CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 6Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7Department of Cardiology, Inselspital, University Hospital Bern, Bern, Switzerland, 8Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Bern, Switzerland, 9Magnetic Resonance Methodology, Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
Synopsis
Keywords: Quantitative Imaging, Brain, Susceptibility, high-field, bSSFP
Motivation: Phase-cycled(PC) balanced steady-state free precession(bSSFP) sequences offer yet-to-be-explored capabilities for quantitative susceptibility mapping(QSM), T1, and T2 mapping, particularly attractive for 7T applications.
Goal(s): To determine the potential of PC-bSSFP for simultaneous QSM, T1 and T2 mapping in the brain at 7T.
Approach: PC-bSSFP-based off-resonance, tissue phase, T1 and T2 maps are compared with reference maps obtained from ME-GRE and MP2RAGE, in three subjects at 7T.
Results: PC-bSSFP-based off-resonance and tissue phase maps agreed with ME-GRE-based references with absolute mean errors of 13.2±3Hz and 8.9±3.7Hz, respectively. PC-bSSFP-based T1 and T2 maps matched the expected brain contrast with high precision.
Impact: At
7T, PC-bSSFP enables quantitative
measurements of susceptibility, T1, and T2, within one acquisition, while providing high
quality weighted images with a clear distinction between different brain
structures.
Introduction
Quantitative
susceptibility mapping (QSM) is a phase-based technique to obtain valuable information about the magnetic susceptibility of
tissue composition1,2. For QSM, multi-echo gradient-recalled echo (ME-GRE) acquisitions are the established gold
standard but have inherent limitations, namely being T2* weighted and thus suffering
from low signal in regions of large B0 heterogeneity. Phase-cycled
balanced steady state free precession (PC-bSSFP) can be used to obtain unique
elliptical-shaped complex signal profiles in which both off-resonance3,4 and relaxation times5 are encoded. This study aims to develop an algorithm for
off-resonance mapping based on PC-bSSFP, to determine its potential for QSM in comparison
with reference methods6 in the human brain and to investigate the simultaneous quantification of T1 and T2
at 7T.Methods
Off-resonance estimation based on PC-bSSFP data: Individual data points on an elliptical bSSFP profile, obtained in
each voxel, can rotate around origin due to phase accumulation between the
application of radiofrequency (RF) excitation pulse and data acquisition. The phase
of the complex mean of the bSSFP profile estimates the tissue phase accumulated due to local off-resonance. However, bSSFP profiles also rotate in the complex plane due to systematic phase errors and coil-induced
phase, which create a phase-offset3. To determine the phase-offset in each voxel, the following
nonlinear least squares problem can be solved:$$argmin_{\phi,w}\left\|DwF(\phi)-m\right \|_2^2\;(Eq.1)$$ where D is a dictionary containing bSSFP profiles as entries, w is the
real-valued weight of each entry, F(Φ) is the diagonal
phase-offset matrix and m is the measured bSSFP profile. Eq.1 can be solved as proposed in7. After determining the phase offset, the off-resonance was estimated by subtracting the phase offset from the phase of the mean of the complex PC-bSSFP samples(Fig.1).
T1 and T2 estimation: T1 and T2 relaxation times were
quantified with ORACLE8.
Tissue Phase
Estimation: To remove background field inhomogeneities
and estimate tissue phase, v-SHARP9 from the STI-Suite software package10 was used.
Experiments: Brain MRI data were acquired in n=3
healthy subjects at a 7T clinical MRI scanner (MAGNETOM Terra, Siemens
Healthcare Erlangen, Germany) using a 32-channel head coil. The following acquisitions were performed: PC-bSSFP for off-resonance,
T1, and T2 maps; ME-GRE for reference off-resonance maps and
MP2RAGE11 for reference T1 maps (Fig.5 for acquisition parameters).
Data analysis: An intensity-based brain mask was created using
single level binarization12, followed by skull stripping13 to be applied to all maps. The mean
absolute difference value between PC-bSSFP and ME-GRE was calculated
for both off-resonance and tissue phase maps for comparison. To determine mean T1 and T2 values in different regions of
the brain, masks of white matter (WM), gray matter
(GM) and cerebrospinal fluid (CSF) regions were created with k-means14 on the magnitude bSSFP images. Mean values are
reported in each region.Results
The estimated off-resonance and tissue phase maps of PC-bSSFP agreed well with the references based on ME-GRE (Fig.2,3). The mean absolute error between ME-GRE and PC-bSSFP in the off-resonance and tissue phase maps was 13±2Hz and 8.9±3.7Hz, respectively. A comparison of tissue phase demonstrated an overestimation (Fig.3) in CSF regions. After masking out CSF regions, the mean absolute error in the off-resonance and tissue phase maps obtained with both techniques was 12.1±1Hz and 2.9±1Hz, respectively. Average T1 values for WM, GM and CSF on a selected slice by PC-bSSFP were 1253±43ms, 1612±99ms and 3213±108ms, respectively. Average T1 values found for WM, GM and CSF by MP2RAGE were 1311±14ms, 2020±39ms and 3609±16ms, respectively. Average T2 values found for WM, GM and CSF by PC-bSSFP were 62±5ms, 81±9ms and 233±15ms, respectively. Quantitative maps given in Fig.4 demonstrate contrast similarities in brain structure with reference MP2RAGE T1 maps. Discussion
With low mean absolute errors, the off-resonance and tissue phase maps from PC-bSSFP and reference were in agreement. On the tissue phase maps, anatomical structures were well preserved. Reduction in tissue phase error after CSF mask application suggests an overestimation of tissue phase in CSF, related to asymmetries in bSSFP profiles, which may be caused by chemical exchange15. The underestimation of T1 and T2 values, especially in WM and CSF, with respect to the reference map and previously reported values16,17, were also attributed to potential signal asymmetries18 and magnetization transfer effects19. Future work will aim to reduce the PC-bSSFP scan time and address the estimation biases found in this study.Conclusion
A novel
processing method is proposed and tested to extend multiparametric
quantification capabilities of PC-bSSFP to susceptibility mapping. Combined
with the capability of PC-bSSFP for relaxation time quantification, this study demonstrates
the feasibility of PC-bSSFP for multiparametric quantification at 7T. Acknowledgements
The present study was funded by the Swiss
National Science Foundation (grant number PCEFP2_194296 and 185909), by the
Translational Imaging Center (TIC) of the Swiss Institute for Translational and
Entrepreneurial Medicine (SITEM), and by CSEM – Swiss Center for Electronics
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