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MR imaging artifacts of the axial internal anatomy of the cervical spinal cord

A J Curtin1, D W Chakeres, R Bulas

  • 1Department of Radiology, Ohio State University College of Medicine, Columbus 43210.

Insights

Magnetic resonance imaging (MRI) of the spinal cord reveals signal variations due to artifacts, not just anatomy. Using a 128x256 matrix optimizes axial spinal cord imaging by reducing motion artifacts.

Area of Science:

  • Radiology
  • Neuroimaging
  • Anatomy

Background:

  • Transverse spinal cord MRI shows signal variations inconsistent with histology.
  • Understanding these discrepancies is crucial for accurate disease recognition.

Purpose of the Study:

  • To evaluate the MR appearance of axial spinal cord anatomy.
  • To correlate MR imaging findings with histologic sections to explain signal variations.
  • To optimize imaging parameters for clearer visualization of spinal cord pathology.

Main Methods:

  • Utilized short TR/TE spin-echo, cardiac-gated multiecho spin-echo, and gradient-refocused-echo MRI sequences at 1.5 T.
  • Examined excised human spinal cords, a volunteer, and phantoms.
  • Investigated artifacts using 128x256 and 256x256 matrices.
  • Correlated MR images with myelin, iron, and Nissl-stained histologic sections.

Main Results:

  • Fourier truncation and partial-volume averaging artifacts significantly alter MR display.
  • A peripheral high-signal ring on short TR/TE images is a truncation artifact.
  • White matter consistently shows lower signal than gray matter, likely due to water molecule motion anisotropy.
  • Matrix size impacts partial-volume averaging effects on central gray and white matter.

Conclusions:

  • Artifacts, particularly truncation and partial-volume averaging, are key to understanding signal variations in axial spinal cord MRI.
  • A 128x256 matrix with two averages is recommended for axial spinal cord scans in vivo to balance image quality and minimize motion artifacts.
  • The lower signal in white matter compared to gray matter is likely related to tract organization and water motion anisotropy.

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