Xiaodong Ma1, Zhe Zhang1, Yuhui Xiong1, Erpeng Dai1, Yishi Wang1, Le He1, Chun Yuan1,2, and Hua Guo1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, People's Republic of, 2Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States
Synopsis
In this study, 2D-navigated multi-shot EPI is used to achieve high
resolution DTI in the cervical spine without cardiac triggering. A k-space
reconstruction method, SYnergistic iMage reconstruction with PHase variatiOn
and seNsitivitY (SYMPHONY), is used to correct the ghost artifacts caused by phase variations
among different shots. The proposed technique is validated using quantitative
analysis in healthy volunteers. Because no cardiac triggering is used, the scan
time can be reduced. The improved spatial resolution and scan efficiency are
beneficial for the quantitative evaluation of cervical spine in both neuroscience
research and clinical diagnosis.Purpose
Diffusion
Tensor Imaging (DTI) in the axial view can be used for evaluating the
function of the cervical spine with diffusion metrics and fiber tracking.
Traditional single-shot EPI (ssEPI) is limited by low spatial resolution and
geometric distortion. Multi-shot EPI (msEPI) with 1D-navigator and cardiac triggerring has been used
for high resolution DTI in the cervical spine [1]. However, it
is limited by residual artifacts due to incomplete phase correction and low
acquisition efficiency due to triggering. In this study, 2D-navigated msEPI without cardiac triggering is used
to achieve high resolution cervical spine DTI. A
k-space reconstruction method, SYnergistic iMage reconstruction with PHase
variatiOn and seNsitivitY (SYMPHONY), previously named SEPARATE [2], is used to
correct the ghost artifacts caused by the motion-induced phase variations among different shots. In vivo data
were acquired on 10 healthy volunteers to evaluate the image quality and quantitative
measurement of the proposed technique.
Methods
Data acquisition
10
healthy volunteers (5 F and 5 M, age 23-28 years, mean 25.4
years) were recruited under IRB
approval from our institution. All the data were acquired on a Philips 3.0T Achieva
TX scanner (Philips, Best, The Netherlands) with a 16-channel SENSE neurovascular
coil. For each volunteer, four sequences were conducted, including (1) T2-weighted
(T2W) multi-echo FFE, (2) ssEPI DTI and (3) 2D-navigated interleaved EPI DTI (8
shots) with and (4) without peripheral pulse unit (PPU) triggering. b values of
0, 600 s/mm2 and 15 diffusion directions were used in DTI scans. The detailed scan
parameters were listed in Table 1. For all the scans, the same imaging locations
covering C3-C7 were used. To be noted, the triggered multi-shot DTI was split
into two successive stacks which covered the upper and lower cervical spine respectively, in
order to include enough slices and to ensure TR similar with the non-triggered
scan.
Image Reconstruction
Both
triggered and non-triggered msEPI DTI data were reconstructed using SYMPHONY,
which treats the phase variations among different shots as a power of encoding
and recovers the k-space of each shot and channel in a GRAPPA way, with the interpolation
weights calibrated from the 2D navigator.
Data analysis
The
DTI parameters, including Fractional Anisotropy (FA), Axial Diffusivity (AD),
Radial Diffusivity (RD) and Mean Diffusivity (MD), were calculated using
DTIStudio [3]. After that, all the parameters were processed using ROI
analysis in ROIEditor. The ROI drawing was demonstrated in Fig. 1. Firstly, one
slice was chosen for each section of C3-C7. Secondly, the contour of whole
spinal cord (Whole) was drawn on the mean DWI image to form the first ROI. Then
the other three ROIs, lateral corticospinal tracts (CST), posterior columns (PC)
and GM (grey matter) were drawn on the color-coded FA (cFA) map.
Results and Discussion
The
triggered and non-triggered msEPI DWI images on one slice of one volunteer, with
and without SYMPHONY reconstruction, are shown in Fig. 2. The ghost artifacts resulting from shot-to-shot phase variations are suppressed by SYMPHONY, for both triggered
and non-triggered scan.
Fig. 3
shows the FA maps on different sections from one volunteer using ssEPI DTI, msEPI
DTI with and without triggering. The T2W-FFE images are provided as anatomical
references. In msEPI DTI, better delineation of white matter (WM) and GM can be
obtained, due to the improved resolution; and the results are similar for the triggered
and non-triggered scans.
Fig. 4
shows the averaged DTI parameters of all the volunteers, calculated from
non-triggered msEPI for all ROIs in different sections. While the results in GM
and WM ROIs are consistent with those obtained in previous studies using reduced
FOV techniques [4, 5], AD and MD values in whole spinal cord turn out to be larger
than those in both GM and WM. Further study is needed to investigate whether this
is true or biased by CSF contamination.
Conclusion
In this study, high resolution cervical spine DTI is achieved using multi-shot EPI
acquisition and SYMPHONY reconstruction. The proposed technique is validated
using quantitative analysis on healthy volunteers. Because no cardiac triggering
is used, the scan time can be reduced (by about 40% in this study). The
improved resolution and scan efficiency are beneficial for the quantitative evaluation
of the cervical spine in both neuroscience research and clinical diagnosis.
Acknowledgements
This work was supported by National Natural Science Foundation of China
(61271132, 61571258) and Beijing Natural Science Foundation (7142091).References
[1]
Summers, P., Staempfli, P., Jaermann, T., Kwiecinski, S., & Kollias, S.
(2006). A preliminary study of the effects of trigger timing on diffusion
tensor imaging of the human spinal cord. AJNR. American Journal of Neuroradiology,
27(9), 1952–1961.
[2]
Ma X, Zhang Z, Wang Y, Dai E, Guo H. High Resolution Spine Diffusion
Imaging
using 2D-navigated Interleaved EPI with Shot Encoded Parallel-imaging
Technique
(SEPARATE). In: Proceedings of the 23th Annual Meeting of ISMRM,
Toronto,
Canada, 2015. p 2799. (abstract 2799)
[3] Jiang H, van Zijl PC, Kim J, Pearlson
GD, Mori S. DtiStudio: resource program
for
diffusion tensor computation and fiber bundle tracking. Comput Methods
Programs
Biomed 2006;81(2):106-116.
[4]
Xu, J., Shimony, J. S., Klawiter, E. C., Snyder, A. Z., Trinkaus, K., Naismith,
R. T., Benzinger T. L., Cross, A. H., Song, S. K. (2013). Improved in vivo
diffusion tensor imaging of human cervical spinal cord. NeuroImage, 67, 64–76.
[5]
Chan, T.-Y., Li, X., Mak, K.-C., Cheung, J. P., Luk, K. D.-K., & Hu, Y.
(2015). Normal values of cervical spinal cord diffusion tensor in young and
middle-aged healthy Chinese. European Spine Journal.
doi:10.1007/s00586-015-4144-2