Aurélien Massire1,2, Pierre Besson1,2, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, and Virginie Callot1,2
1Centre de Résonance Magnétique Biologique et Médicale (CRMBM), UMR 7339, CNRS, Aix-Marseille Université, Marseille, France, 2Centre d'Exploration Métabolique par Résonance Magnétique (CEMEREM), Hôpital de la Timone, Pôle d’imagerie médicale, AP-HM, Marseille, France
Synopsis
MRI at 7T has recently demonstrated its ability
to provide high-quality anatomical images of the spinal cord (SC), yet no
diffusion tensor imaging (DTI) study was reported so far. Single-shot
echo-planar imaging (ss-EPI) is the method of choice for DTI but the sequence
is seriously limited by strong susceptibility artifacts. This work demonstrates that a thoughtful
implementation of ss-EPI at 7T combined with distortion correction post-processing from two acquisitions with
opposed phase-encoding directions can generate high-resolution axial DTI images of
the cervical SC with added value compared to lower field standard protocols making SC DTI ready for
UHF clinical investigations.Introduction
MRI of the spinal cord (SC) at 7T has recently
demonstrated its ability to provide high-quality anatomical images [1], with
consecutive better characterization of pathologies [2]. Although routinely used
to diagnose pathologies and probe SC microstructure at lower field [3],
diffusion tensor imaging (DTI) has however, to the authors’ knowledge, not
been reported so far on the SC at 7T. Two main reasons may explain this absence
of investigation. Firstly, single-shot echo-planar imaging (ss-EPI), which is
well established as the method of choice for DTI, is seriously limited at high
field by the increased level of artifacts associated with magnetic
susceptibility variations at tissue interfaces. Secondly, SC imaging also
presents its own challenges such as physiological pulsatility of the cerebrospinal
fluid, partial volume effects due to the small physical dimensions of the cord
and last, severe magnetic susceptibility-induced image distortions coming from
adjacent bone structures.
Several original approaches, largely applied in
the brain, were proposed to reduce image distortions [4,5]. One of them, which includes
post-processing of two ss-EPI acquisitions with opposed phase-encoding
directions [6,7], has been used in this study. The work demonstrates that a quite simple yet
thoughtful implementation of ss-EPI at 7T combined with distortion correction post-processing can generate high-resolution
axial DTI images of the cervical SC with added value compared to lower field
standard protocols for an identical acquisition time.
Methods
- Whole-body actively-shielded 7T system with an eight-channel transceiver cervical SC coil array.
- Seven healthy volunteers (22±2 years) scanned with
approval of the local Ethic Committee.
- Anatomical imaging: sagittal 2D T2-w TSE
sequence (0.6x0.6x2 mm3) for positioning (Figure 1.a), and axial 2D
T2*-w GRE sequence with multiple TEs (4 TE, 0.18x0.18x3 mm3,
12 slices). The sum of squares of all echoes (Figure 1.e) was used for
anatomical reference after resampling to DTI resolution (c3D, ITK-SNAP) (Figure
1.f).
- DTI with two opposite phase-encoding acquisitions: R>L
(Figure 1.b) and L>R (Figure 1.c) using ss-EPI sequence, at the C3 level (0.8x0.8x3
mm3, b-values: (0,800) s/mm2, 12 slices, 12 directions, TE
53ms, PAT 3, 5 averages, pulse trigger, 3-4 concatenations depending on heart
rate, and ~7 min acquisition).
- Total acquisition time, including system adjustments
(2nd order B0 shimming: FWHM~150 Hz, B1+
calibration): 30 min/subject.
- DTI post-processing using FSL Topup (FMRIB) [7] and FSL DTIFIT.
- Quantification within specific WM and GM regions of
interest (Figure 1.j) after manual segmentation using FSL.
- Last subject also enrolled for 3T acquisitions: optimized “3T DTI” protocol
(~7 min acquisition, 0.9x0.9x10 mm3, same b-values, 6 slices,
30 directions, pulse trigger, 4 averages, 3 concatenations; Figure 1.k), and “7T-like”
protocol (Figure 1.l).
Results
Figures 1.b to 1.d illustrate
how well
Topup corrects image
distortions (subject #7). Outlines
of the cord parenchyma were manually drawn in R>L (Figure 1.b), L>R (Figure 1.c) and in corrected (Figure 1.d) images, and subsequently compared to the
reference cord outline (Figure 1.f). Related zoom (Figure 1.g) depicts
all outlines, with significant overlap between the reference (red) and the
corrected (green) outlines, showing accurate distortion corrections.
The sum of squares of all GRE echoes provided clear delineation
of the GM butterfly (Figure 1.e). DTI metrics, here MD (Figure 1.h, mean
diffusivity) and FA (Figure 1.i, fractional anisotropy) maps enable cord and GM
butterfly visualization respectively, with
exquisite delineation of the posterior horns (Figure 1.I). Figure k. and l. exhibit FA maps of subject #7
acquired at 3T for “3T DTI” and “7T-like” protocols,
respectively. The “3T DTI” protocol was acquired within
the same acquisition time but with a lower spatial resolution. It shows decent
SNR and GM butterfly delineation yet slice thickness was 3.33 times larger,
precluding visualization of small tissue alteration. The “7T like” protocol was
too noisy to interpret data.
Quantitative results
for all subjects at 7T (Figure 2) were found comparable to values measured at
3T in this work and coherent with [8]. Furthermore, higher spatial resolution
and slice thickness helped minimizing partial volume effect while obtaining DTI
quantification within the posterior horns.
Conclusion
A quite simple implementation of ss-EPI at 7T combined with distortion correction
post-processing can generate useful high-resolution axial DTI images of the
cervical SC. Obtained results confirmed the added value of the 7T in terms of
image resolution, metrics evaluation in precise ROIs and total sequence coverage,
compared to lower field standard protocols for an equivalent acquisition time. This
study lays the groundwork for
high-resolution DTI of the SC at 7T. The proposed methodology can direcly be
used to explore degenerative SC pathologies and quantify tissue alterations. Future studies will focus on higher spatial resolution and refined sequences.
Acknowledgements
Fundings: 7T-AMI ANR-11-EQPX-0001,
A*MIDEX-EI-13-07-130115-08.38-7T-AMISTART & A*MIDEX ANR-11-IDEX-0001-02.References
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