Magnetic Resonance Imaging
Volume 28, Issue 9 , Pages 1353-1360, November 2010

High-resolution in vivo diffusion tensor imaging of the injured cat spinal cord using self-navigated, interleaved, variable-density spiral acquisition (SNAILS-DTI)

  • Benjamin M. Ellingson

      Affiliations

    • Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA
    • Department of Neurosurgery Medical College of Wisconsin, Milwaukee, WI 53226, USA
  • ,
  • Olawale Sulaiman

      Affiliations

    • Department of Neurosurgery, Ochsner Clinic Foundation, New Orleans, LA 70121, USA
  • ,
  • Shekar N. Kurpad

      Affiliations

    • Department of Neurosurgery Medical College of Wisconsin, Milwaukee, WI 53226, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 414 805 5434.

Received 8 December 2009; received in revised form 12 January 2010; accepted 10 June 2010. published online 27 August 2010.

Abstract 

Diffusion tensor magnetic resonance imaging (DTI) is useful for studying the microstructural changes in the spinal cord following traumatic injury; however, image quality is generally poor due to the small size of the spinal cord, physiological motion and susceptibility artifacts. Self-navigated, interleaved, variable-density spiral diffusion tensor imaging (SNAILS-DTI) is a distinctive pulse sequence that bypasses many of the challenges associated with DTI of the spinal cord, particularly if imaging gradient hardware is of conventional quality. In the current study, we have demonstrated the feasibility of implementing SNAILS-DTI on a clinical 3.0-T MR scanner and examined the effect of navigator filter parameters on image quality and reconstruction time. Results demonstrate high-quality, high-resolution (546 μm×546 μm) in vivo DTI images of the cat spinal cord after traumatic spinal cord injury.

Keywords: DTI, Diffusion tensor imaging, Spiral MRI, SNAILS, Spinal cord injury, Cat, SCI

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PII: S0730-725X(10)00163-3

doi:10.1016/j.mri.2010.06.006

Magnetic Resonance Imaging
Volume 28, Issue 9 , Pages 1353-1360, November 2010