Nutandev Bikkamane Jayadev1, Yulin Chang1, Andre van der Kouwe2,3, Jason Stockmann2,3, Robert Frost2,3, Nicolas Arango4, and Ovidiu C Andronesi2,3
1Siemens Medical Solutions, USA, Inc.,, Malvern, PA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States
Synopsis
Keywords: Parallel Imaging, Motion Correction, fast B0 field mapping, EPI navigator, shimming
Motivation: High-quality MRI demands accurate ∆B0 field mapping. Traditional field mapping methods cannot address motion-induced susceptibility changes during acquisition. A rapid navigator can achieve real-time motion correction with accurate shim and frequency updates.
Goal(s): Develop a rapid navigator to achieve accurate field maps for real time motion correction applications.
Approach: We developed GRAPPA accelerated dual-echo EPI-vNavs of rapid ∆B0 field mapping. We compared field mapping and shim current accuracy of vNavs at different resolutions and accelerations to 3D-GRE in scanner-based 2SH and multi-coil shimming.
Results: The field maps generated with accelerated vNavs closely matched 3D-GRE field maps and accurately determined shim currents.
Impact: Accelerated dual-echo EPI vNavs provide rapid, accurate field
mapping, reducing feedback delays. This research provides valuable insights
into impact of acceleration and resolution in vNav-based field mapping, to
benefit various MRI applications in mitigating susceptibility artifacts arising
from motion-induced changes.
INTRODUCTION
Accurate ∆B0
field mapping is essential for high-quality MRI. Typically, shim optimization
is performed at the start of the scan. However, changes in position due to
motion and respiration during the scan result in signal degradation and
inaccuracy. We have previously demonstrated a robust method for real-time
motion correction using Echo Planar Imaging (EPI) based volumetric navigators
(vNavs) for spectroscopic imaging 1,2,3. In this study, we
investigate the potential of using dual-echo EPI-vNavs with Generalized
Autocalibrating Partially Parallel Acquisition (GRAPPA) acceleration for rapid
∆B0 field mapping in MRI. We compare the performance of EPI vNavs to
traditional 3D Gradient Echo (GRE) field maps and assess their suitability for
real-time motion correction with minimal feedback delays. We further
demonstrate the feasibility of using accelerated vNavs in estimating shims for
a scanner's spherical harmonic, a 32-channel AC/DC shim array4,5,
and their combination.
METHODS
The protocols were implemented on a 3T whole-body MRI system (MAGNETOM
Prisma, Siemens Healthcare, Erlangen, Germany). In vivo data was acquired from
11 subjects (6 patients and 5 healthy) using a standard 32 channel head coil.
The reference ∆B0 field maps
were obtained using a standard dual-echo 3D-GRE sequence. The performance of a 3-echo 3D ASPIRE (Amplitude Susceptibility-weighted
Phase imaging for Resolving Microstructure)6 and 8 prototype
dual-echo 3D-EPI based vNavs, encompassing four different spatial resolutions
and GRAPPA acceleration, were assessed. The imaging parameters are summarized
in Figure 1. The ∆B0 field
maps for ASPIRE sequence were generated online with ROMEO (Regularization Of
Magnetic Resonance Phase for Extra-cerebral Water Removal) unwrapping6. The 3D-GRE and vNav data
were processed offline on MATLAB (Mathworks, Natick, MA, USA). Channel-wise
phase difference maps were evaluated and combined. Brain Extraction
tool (BET)7 was used on 3D-GRE magnitude images to generate a common
brain mask. The brain mask was applied to the phase difference followed by
phase unwrapping using FSL prelude tool8. For voxel-to-voxel
comparison, the low resolution vNav ∆B0
maps were interpolated to the same resolution as the 3D-GRE ∆B0
maps.
Shimming experiment was
performed on a volunteer using a 32-channel multi-coil AC/DC shim array. The set of un-shimmed
∆B0 field maps were acquired for 3D-GRE, ASPIRE and vNavs with the same protocol
as in Figure 1 using the scanner tune-up shims. The shim currents were estimated
on MATLAB using the respective field maps for linear and 2nd order
spherical harmonic scanner shims, 32-channel multi-coil, and their combination. The
estimated shims were applied prospectively4,5 to acquire shimmed
3D-GRE ∆B0 field maps. RESULTS
Figure 2. shows the representative ∆B0
field maps from 3D-GRE, ASPIRE and 8 vNav protocols. The ASPIRE and vNav ∆B0 maps are in close agreement to the 3D-GRE
∆B0 maps with negligible image distortion. The greatest
differences are observed in close to the skull
base and frontal sinus due to ∆B0 inhomogeneity.
Figure 3 shows the histogram,
standard deviation and root mean squared error (RMSE) for all 11 subjects. The histogram for
ASPIRE reveals a large fraction of voxels close to 0 Hz and the least RMSE,
indicating superior field mapping performance. Among the vNav's the accelerated vNav48PAT4x2 and vNav64PAT4x2 had the lowest
RMSE, with histograms that overlap with 3D-GRE. vNav96PAT4x2 shows the most
significant differences compared to 3D-GRE.
Figure 4 shows the Bland-Altman
plots for the pooled data, comparing ASPIRE and vNav field maps to 3D-GRE field maps. Most
data points fall within the limits of agreement, with interpolation errors in
low-resolution vNavs potentially appearing as bias. Among the vNavs, the mean
difference is lowest for vNav48 and vNav64.
Figure 5 shows the field
maps for the shimmed data. The unshimmed data has a large linewidth. The
linewidth improves in order from 2SH, to 32-channel AC/DC shimming, to joint
shimming. The accelerated navigators
provide similar shimming performance compared to longer field mapping methods
such as 3D GRE and 3D ASPIRE. DISCUSSION AND CONCLUSION
We have developed rapid field mapping protocols using dual-Echo
EPI vNavs.
The accelerated vNav field mapping method demonstrated fidelity to
the standard 3D-GRE method. Among the
vNavs, the vNav64PAT4x2 and vNav48PAT4x2 exhibited the least errors. In particular, vNav48PAT4x2 is shorter than 0.5s and would
have minimal impact on the acquisition time of parent sequence. Motion correction in MR spectroscopic imaging1-3,5
could readily benefit from integration of accelerated vNavs. We anticipate that high-resolution accelerated navigators will
benefit MRI applications, especially in the context of large susceptibility at
the skull base and motion induced changes. Acceleration allows trade-offs between spatial resolution and speed that can be
tailored to specific applications.Acknowledgements
NIH/NCI grants R01CA255479, 2R01CA211080-06A1, R01HD093578, R01HD099846, R01AG079422,
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