Shahrokh Abbasi-Rad1,2,3, Robert Frost1,2, Nutandev Bikkamane Jayadev4, Yulin Chang4, Ovidiu Andronesi1,2, David Norris3,5, Zoe Kourtzi6, Uzay Emir7, and André van der Kouwe1,2
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany, 4Siemens Medical Solutions, Malvern, PA, United States, 5Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, 6University of Cambridge, Cambridge, United Kingdom, 7School of Health Sciences, Purdue University, West Lafayette, IN, United States
Synopsis
Keywords: Pulse Sequence Design, Brain
Motivation: To develop a sequence for high-quality concurrent measurement of BOLD signal changes (fMRI) and biochemicals metabolite concentrations (fMRS).
Goal(s): To implement parallel imaging with inline image reconstruction to improve fMRI image quality in concurrent fMRI-fMRS experiments at 7 T.
Approach: We modified an fMRS-fMRI sequence to start by acquiring reference lines for GRAPPA reconstruction. Then each TR consists of a semiLASER acquisition for single-voxel MRS, and a GRAPPA-accelerated 3D EPI acquisition.
Results: We obtained sufficient tSNR (30) map for the 3D EPI and a high SNR (59) and a narrow linewidth (9 Hz) for the spectrum.
Impact: The modified concurrent fMRI-fMRS pulse sequence enhances the
fMRI component to enable whole-brain coverage, reduced distortion, and high spatial
resolution, providing a powerful tool for neuroscientists to study the dynamics
of neurochemicals simultaneous with the BOLD signal.
Introduction
In primary visual
cortex, DiNuzzo et al. showed that neurometabolic (not neurovascular) response
can distinguish between the response to perceived and unperceived visual
stimulation [1]. Therefore, a neuroimaging technique [2] that concurrently tracks BOLD and metabolites
(fMRS) provides a better understanding of brain function [3]. To develop a single-voxel spectroscopy
technique with prospective motion and shim correction, Hess et al. added an 8 mm
isotropic dual-echo 3D-EPI measurement (so-called “navigator”) to the PRESS
pulse sequence at 3T [4]. Ip et al. used the same navigator (single
echo) in a semiLASER MRS sequence at 7T to acquire concurrent 4.3 mm isotropic
resolution (16 slices) fMRI-fMRS data [2]. While low spatial resolution imaging
navigators are sufficient for motion correction, higher resolution EPI would be
desirable for fMRI. We have implemented GRAPPA accelerated 3D-EPI navigators
with inline image reconstruction [5], and in this work we demonstrate how they can improve
the quality of the 3D-EPI in concurrent fMRI-fMRS.Method
The sequence (Figure 1) starts by acquiring reference lines
for GRAPPA reconstruction [6]. Every subsequent TR consists of 1) water
suppression interleaved with an outer-volume suppression scheme; 2) semiLASER acquisition
for single-voxel MRS: 3) delay times (e.g., 250 ms) for decoupling the two acquisitions
in terms of eddy-current artifacts, and 4) a GRAPPA-accelerated 3D-EPI
acquisition.
Two participants were scanned at 7T (MAGNETOM Terra, Siemens
Healthcare, Erlangen, Germany) after providing written informed consent. We
acquired semiLASER MRS with 64 averages in a 20 mm3 voxel (placed on
visual cortex) using TE/TR=36 ms/4 sec, BW=6000 Hz. In each 4 sec TR, a sagittal
whole-brain 3D-EPI volume was acquired with 80 slices at 2 mm isotropic
resolution, FOV=240 mm, TE/TR=25/35 ms, and GRAPPA R=3x2. The linewidth
calculated as the FWHM of the unsuppressed water reference spectrum and the SNR
were determined using LCModel. The temporal signal-to-noise ratio (tSNR) was
calculated for the fMRI experiment.
In another experiment, we investigated trade-offs between 2nd
order spherical harmonic (2SH) versus 1st order (1SH) shim settings on
the quality of the concurrently acquired EPI and the spectrum data as follows. I)
2SH-EPI: B0 shimming using the image-based vendor-provided
advanced shim calculator up to the 2nd order 2SH terms on the
whole-brain EPI volume. II) 2SH-EPI-1SH-MRS: B0 shimming up
to the 2nd order SH terms on the whole-brain EPI volume followed by updating
the 1st order SH terms using projection-based FASTESTMAP sequence [7] on the MRS voxel. III) 2SH-MRS:
B0 shimming up to the 2nd order SH terms on the MRS single
voxel using the recommended FASTESTMAP procedure. The unsuppressed water
reference spectra were acquired with the same shim setting as the metabolite
data for each measurement. The linewidth and the SNR related to total creatine (tCr)
were reported as the quality measures [8].Results
Figure 2 shows the calculated tSNR map of the 3D-EPI
acquisition showing the median tSNR of 30, which is sufficient for an fMRI
experiment. Figure 3 shows the high-quality spectrum obtained with a linewidth
of 9 Hz and SNR of 59. Figure 4 shows the EPI image (A) and the spectrum (B)
quality for the three different shim settings. The SNR (linewidth in Hz) for
the spectrum for the 2SH-EPI, 2SH-EPI-1SH-MRS, and 2SH-MRS were 103(12.5), 103(11.4),
and 121(11), respectively. Although the 2SH-MRS shimming procedure results in
the highest spectral quality, it is not appropriate for the whole-brain EPI,
which suffers from signal loss and distortion. A 1 mm slab-selective EPI
protocol covering visual cortex is demonstrated in Fig. 5.Discussion
We have added
parallel imaging capability to the 3D-EPI module of a concurrent fMRI-fMRS sequence
to improve the fMRI measurements. Recent work has also shown slab-selective 2
mm isotropic resolution fMRI (on a Philips system) [2, 9]. We have demonstrated 2 mm isotropic resolution
whole-brain and 1 mm isotropic slab-selective EPI protocols. The in-plane (ky)
acceleration reduces geometric distortion with shorter echo spacing and reduces
T2* blurring with shorter readout duration. The
through-slice (kz) acceleration can reduce acquisition time or increase
brain coverage. For a voxel placed in the visual cortex, the 2SH-EPI-1SH-MRS
shim settings provide enough accuracy. However, this needs to be investigated
for more challenging areas of the brain like frontal cortex. Acquiring a
high-resolution slab of the brain requires fat saturation pulses, which increases
SAR. Water excitation using binomial pulses could overcome the problem, however
exciting thin slabs necessitates high gradient slew rates. The sequence could
be further enhanced with prospective motion and shim correction by using the
accelerated 3D-EPI data as “navigators”[4], which could improve data quality when scanning
subjects who are likely to move. Acknowledgements
This work was supported by NIH grants R01HD110152, R01AG079422, R01AA030014, R01HD099846, R01HD093578, R21EB029641, R01CA2554792R01CA211080-06A1, S10 RR023401, S10 RR019307, S10 RR023043, P41-EB015896."References
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