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Diffusion tensor MR imaging of the neurologically intact human spinal cord. AJNR Am J Neuroradiol 2008 Aug;29(7):1279-84

Date

04/18/2008

Pubmed ID

18417607

Pubmed Central ID

PMC8119131

DOI

10.3174/ajnr.A1064

Scopus ID

2-s2.0-49749137015 (requires institutional sign-in at Scopus site)   63 Citations

Abstract

BACKGROUND AND PURPOSE: The aim of this study was to characterize the diffusion properties of the entire human spinal cord in vivo. These data are essential for comparisons to pathologic conditions as well as for comparisons of different pulse sequence design parameters aimed to reduce scan time and more accurately determine diffusion coefficients.

MATERIALS AND METHODS: A total of 13 neurologically intact subjects were enrolled in this study. A single-shot, twice-refocused, spin-echo, diffusion-weighted, echo-planar imaging (EPI) pulse sequence was used to obtain axial images throughout the entire spinal cord (C1-L1) in 45 minutes.

RESULTS: Diffusion images indicated slight geometric distortions; however, gray and white matter contrast was observed. All measurements varied across the length of the cord. Whole cord diffusion coefficients averaged 0.5-1.3 x 10(-3) mm(2)/s depending on orientation, mean diffusivity (MD) averaged 0.83 +/- 0.06 x 10(-3) mm(2)/s, fractional anisotropy (FA) averaged 0.49 +/- 0.05, and volume ratio (VR) averaged 0.73 +/- 0.05.

CONCLUSION: This study provided normative diffusion values for the entire spinal cord for use in comparisons with pathologic conditions as well as improvements in pulse sequence design.

Author List

Ellingson BM, Ulmer JL, Kurpad SN, Schmit BD

Authors

Shekar N. Kurpad MD, PhD Chair, Director, Professor in the Neurosurgery department at Medical College of Wisconsin
Brian Schmit PhD Professor in the Biomedical Engineering department at Marquette University




MESH terms used to index this publication - Major topics in bold

Adult
Artifacts
Diffusion Magnetic Resonance Imaging
Female
Humans
Image Processing, Computer-Assisted
Male
Reference Values
Software
Spinal Cord