Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Aug;86(2):984-994.
doi: 10.1002/mrm.28751. Epub 2021 Mar 15.

Diffusion-prepared fast spin echo for artifact-free spinal cord imaging

Affiliations

Diffusion-prepared fast spin echo for artifact-free spinal cord imaging

Seung-Yi Lee et al. Magn Reson Med. 2021 Aug.

Abstract

Purpose: Diffusion MRI provides unique contrast important for the detection and examination of pathophysiology after acute neurologic insults, including spinal cord injury. Diffusion weighted imaging of the rodent spinal cord has typically been evaluated with axial EPI readout. However, Diffusion weighted imaging is prone to motion artifacts, whereas EPI is prone to susceptibility artifacts. In the context of acute spinal cord injury, diffusion filtering has previously been shown to improve detection of injury by minimizing the confounding effects of edema. We propose a diffusion-preparation module combined with a rapid acquisition with relaxation enhancement readout to minimize artifacts for sagittal imaging.

Methods: Sprague-Dawley rats with cervical contusion spinal cord injury were scanned at 9.4 Tesla. The sequence optimization included the evaluation of motion-compensated encoding diffusion gradients, gating strategy, and different spinal cord-specific diffusion-weighting schemes.

Results: A diffusion-prepared rapid acquisition with relaxation enhancement achieved high-quality images free from susceptibility artifacts with both second-order motion-compensated encoding and gating necessary for reduction of motion artifacts. Axial diffusivity obtained from the filtered diffusion-encoding scheme had greater lesion-to-healthy tissue contrast (52%) compared to the similar metric from DTI (25%).

Conclusion: This work demonstrated the feasibility of high-quality diffusion sagittal imaging in the rodent cervical cord with diffusion-prepared relaxation enhancement. The sequence and results are expected to improve injury detection and evaluation in acute spinal cord injury.

Keywords: artifact reduction; diffusion imaging; motion preparation; spinal cord.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Pulse sequence diagram of diffusion prepared RARE (DWprep-RARE). Diffusion encoding is initiated after a cardiac post delay. A four-segment adiabatic B1 insensitive rotation (BIR-4) pulse was applied in combination with diffusion gradients (gray trapezoid) having either zeroth-order (m0), first-order (m1), or second-order (m2) moment compensation, depicted only on one axis for clarity. The duration of the diffusion preparation (TEprep) for a b-value of 2000 s/mm2 is indicated and varied with the degree of compensation. A magnitude stabilizer (red) before the final 90° pulse in the DWprep reduced ghost artifact and eddy currents and was incorporated into the spoiler gradients of the RARE readout.
Figure 2
Figure 2
Image quality of sagittal DWprep-RARE in the spinal cord. In the images without diffusion weighting (b0, A-B), prominent artifacts exist in the EPI image (A) that are not apparent in the RARE (B), noting these are from different animals. With b=2000 s/mm2 (C-G), subtle artifacts were evident in both respiratory (C) and dual (D) gating conditions with both m1 (E) and m2 (F) compensation eliminating the artifacts. Higher order motion compensation slightly reduced tSNR (G). Data shown for n=4 animals obtained from ROIs within the spinal cord as shown (H) exhibit trends consistent with those seen qualitatively in the images.
Figure 3
Figure 3
Diffusion encoding schemes specific to the spinal cord. DTI uses a rotationally invariant single b-value with 6 of 20 directions shown. The other three filtered DWI schemes used a diffusion filter gradient perpendicular to the cord of 2000 s/mm2 with different sets of 3D, 2D, or 1D sampling. 3D filtered DWI used the same set of directions as DTI but offset in the left-right (perpendicular) direction from a rotationally invariant shell. 2D filtered DWI was similar but employed in-plane sampling, whereas 1D employed single-axis sampling along the main cord axis (rostral-caudal).
Figure 4
Figure 4
DWprep-RARE parameter maps in healthy (n=3) and injured (n=3) spinal cords. Compared to DTI, contrast in the 2D or 1D schemes were generally similar, although the 3D-fDWI condition had greater noise in the estimated maps. In the injured cord, the fDWI images better revealed the lesion compared to DTI, primarily in both AD and MD maps. Note that 2D and 1D conditions had less noise compared to 3D-fDWI. Compared to DTI, maps of FA derived from fDWI had lower quality. Across all animals and contrasts, fADC|| measured from fDWI had larger lesion to healthy cord contrast. CSF=cerebrospinal fluid, WM=white matter, GM=gray matter
Figure 5
Figure 5
Orientation dependence of diffusion schemes. Initial images were aligned with the spinal cord axis and diffusion directions aligned with the image orientation. To assess the dependence on orientation, the imaging orientation was rotated counter-clockwise in 20 ° increments (A). Maps of AD for an injured animal demonstrate the sensitivity of each scheme to orientation (B), with 1D-fDWI having high sensitivity to the angle, as expected, compared to DTI or 2D-fDWI. In DTI, the lower cervical cord was contaminated by wraparound aliasing artifact. Across 3 animals, the 2D-fDWI showed the most consistent reduction in AD in the injury site as well as the highest contrast to the uninjured cord (C). Diffusivity units are in μm2/ms.

Similar articles

Cited by

References

    1. Rutman AM, Peterson DJ, Cohen WA, Mossa-Basha M. Diffusion Tensor Imaging of the Spinal Cord: Clinical Value, Investigational Applications, and Technical Limitations. Current Problems in Diagnostic Radiology 2018;47:257–269. - PubMed
    1. Shanmuganathan K, Zhuo J, Bodanapally UK, Kuladeep S, Aarabi B, Adams J et al.Comparison of Acute Diffusion Tensor Imaging and Conventional Magnetic Resonance Parameters in Predicting Long-Term Outcome after Blunt Cervical Spinal Cord Injury. J Neurotrauma Published Online First: 2 August 2019. doi:10.1089/neu.2019.6394 - DOI - PubMed
    1. Motovylyak A, Skinner NP, Schmit BD, Wilkins N, Kurpad SN, Budde MD. Longitudinal In Vivo Diffusion Magnetic Resonance Imaging Remote from the Lesion Site in Rat Spinal Cord Injury. J Neurotrauma 2019;36:1389–1398. - PMC - PubMed
    1. Skinner NP, Lee S-Y, Kurpad SN, Schmit BD, Muftuler LT, Budde MD. Filter-Probe Diffusion Imaging Improves Spinal Cord Injury Outcome Prediction. Ann Neurol Published Online First: 11 May 2018. doi:10.1002/ana.25260 - DOI - PMC - PubMed
    1. Kharbanda HS, Alsop DC, Anderson AW, Filardo G, Hackney DB. Effects of cord motion on diffusion imaging of the spinal cord. Magnetic Resonance in Medicine 2006;56:334–339. - PubMed

Publication types

LinkOut - more resources