Marios C Yiannakas1, Polymnia Louka1, Francesco Grussu1, Ferran Prados1,2, Rebecca S Samson1, Marco Battiston1, Sebastien Ourselin2, David H Miller1,3, and Claudia Angela Michela Gandini Wheeler-Kingshott1,4
1NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom, 2Translational Imaging Group, Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3NIHR Biomedical Research Centre, UCL-UCLH, London, United Kingdom, 4Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy
Synopsis
The use of imaging methods to study the lower spinal cord has been
hindered by a number of technical challenges; hence the relative contribution
of pathology affecting the lower spinal cord to the observed clinical symptoms
remains largely unexplored. In this pilot study, we investigate the feasibility
of obtaining tissue-specific (grey matter and white matter) diffusion tensor
imaging metrics within the lumbosacral enlargement in vivo in healthy volunteers using reduced field-of-view echo
planar imaging on a clinical 3T MRI system. Preliminary results show that such
measures may be obtained reliably and within clinically acceptable scan times.INTRODUCTION:
Imaging methods that can be used to study the
lower spinal cord have potential to provide new insights in to the pathophysiology
of symptoms such as bladder and sexual dysfunction, which are often associated
with neurological conditions including multiple sclerosis
1, spinal
cord injury
2 and multiple system atrophy
3. Using magnetic
resonance imaging (MRI), it has recently been possible to depict grey matter
(GM) and white matter (WM) in the lumbosacral enlargement (LSE) using clinical systems
4.
Quantitative MRI methods such as diffusion tensor imaging (DTI) could provide measures
that reflect tissue microstructure at that level, hitherto unreported. In this
pilot study, we investigated the feasibility of obtaining tissue-specific (i.e.
GM and WM) DTI metrics within the LSE in
vivo in healthy volunteers using reduced field-of-view echo planar imaging
(ZOOM-EPI
5,6) on a clinical 3T MRI system.
METHOD:
A) Participants: Six healthy subjects
were recruited (mean age 27 years, 5 female). The local institutional review
board approved the study and informed consent was obtained from all
participants.
B) MR Imaging: A 3T
Philips Achieva system with RF dual-transmit technology (Philips Healthcare,
Best, Netherlands) and the product 15-channel SENSE spine coil were used. A sagittal
T2-weighted image of the lumbar spine was first obtained and used to facilitate
prescription of subsequent scans perpendicular to the cord at the T11 - L1
level, to ensure coverage of the LSE
4. For identifying the LSE, a 3D
fast field-echo (3D-FFE) sequence was used with fat suppression: TR = 22 ms, TE
= 4.4 ms, flip angle a =10°, FOV = 180 x 180 mm
2, voxel size =
0.5 x 0.5 x 5 mm
3, NEX = 8, slices = 10, acquisition time ~ 9, 5
mins. For calculating the DTI metrics, a cardiac-gated ZOOM-EPI was used with
identical slice geometry as the 3D-FFE, 60 diffusion directions at b = 1000
s/mm
2 interleaved with 7 b = 0 measurements: TR = 6000 ms, TE = 40
ms, flip angle a = 90°, number of slices = 10; FOV = 64 x 48 mm
2,
voxel size = 1 x 1 x 5 mm
3, acquisition time ~ 15 mins (depending on
heart rate).
C) Image analysis:
Using the 3D-FFE, three slices (i.e. 15 mm) through the widest section of the
lumbar cord (i.e. the LSE) were identified, using the active surface model
(ASM) segmentation method in JIM 6.0 (http://www.xinapse.com)
4. The
diffusion-weighted (DW) images were firstly corrected for motion using
slice-wise linear registration implemented in FSL (http://www.fmrib.ox.ac.uk/fsl/), with registration transformations estimated among non-DW images
7. DTI fitting was
performed using CAMINO (http://cmic.cs.ucl.ac.uk/camino/) and maps of axial,
radial and mean diffusivity (AD/RD/MD) and fractional anisotropy (FA) were
obtained. Using the mean b = 0 volume, the three slices corresponding to the LSE,
previously identified from the 3D-FFE, were segmented using ASM to obtain the
whole cord outline. GM was manually outlined on an image obtained by averaging
DW images
7,8. Binary masks were subsequently created and eroded
prior to their application to the DTI maps. To examine the impact of the number
of diffusion directions on the quality of DTI indices, the DTI model was retrospectively
fitted to gradually reduced sets of measurements optimally spread over the
sphere (60 to 10, with steps of 10), extracted with CAMINO.
D) Reproducibility assessment: All
volunteers had a repeated scan on a different occasion, and the reproducibility
of all DTI metrics obtained with all diffusion protocols within GM, WM and the whole
cord was assessed by calculating the intra-class correlation coefficient (ICC)
and the coefficient of variation (%COV).
RESULTS:
High-resolution images through the LSE and corresponding DTI maps are
shown in Figure 1. Tissue-specific values (mean ± SD) of AD, RD, FA and MD in 6
healthy subjects are shown in Table 1. ICC and %COV results from the reproducibility
assessment are shown in Table 2 and Table 3, respectively. The effect of using
a different number of diffusion directions on the %COV of the DTI metrics within
each tissue-type is demonstrated in Figure 2.
DISCUSSION AND CONCLUSION:
This study has shown that tissue-specific DTI metrics within the LSE can
be obtained reliably using a commercially available 3T MR system. This allows
characterisation of microstructural features at lumbar level, which show some
differences compared to other levels, such as lower FA in WM than in the upper
cervical spinal cord. Future studies will be focused on developing the most
time-efficient acquisition protocol (i.e. minimum number of diffusion
directions), refining the image segmentation method further and assessing the
value of the final protocol in the investigation of neurological disease.
Acknowledgements
The UK MS Society and the UCL-UCLH Biomedical
Research Centre for ongoing support.References
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