Addressing a systematic vibration artifact in diffusion-weighted MRI

Hum Brain Mapp. 2010 Feb;31(2):193-202. doi: 10.1002/hbm.20856.

Abstract

We have identified and studied a pronounced artifact in diffusion-weighted MRI on a clinical system. The artifact results from vibrations of the patient table due to low-frequency mechanical resonances of the system which are stimulated by the low-frequency gradient switching associated with the diffusion-weighting. The artifact manifests as localized signal-loss in images acquired with partial Fourier coverage when there is a strong component of the diffusion-gradient vector in the left-right direction. This signal loss is caused by local phase ramps in the image domain which shift the apparent k-space center for a particular voxel outside the covered region. The local signal loss masquerades as signal attenuation due to diffusion, severely disrupting the quantitative measures associated with diffusion-tensor imaging (DTI). We suggest a way to improve the interpretation of affected DTI data by including a co-regressor which accounts for the empirical response of regions affected by the artifact. We also demonstrate that the artifact may be avoided by acquiring full k-space data, and that subsequent increases in TE can be avoided by employing parallel acceleration.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artifacts*
  • Brain / anatomy & histology
  • Brain / pathology
  • Brain Edema / pathology
  • Diffusion Magnetic Resonance Imaging / instrumentation
  • Diffusion Magnetic Resonance Imaging / methods
  • Diffusion Tensor Imaging / instrumentation
  • Diffusion Tensor Imaging / methods*
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Neural Pathways / anatomy & histology
  • Neural Pathways / pathology
  • Vibration*