Artifact correction in diffusion MRI of non-human primate brains on a clinical 3T scanner

Xiaodong Zhang1,2, John E Kirsch3, Xiaodong Zhong4

  • 1Yerkes Imaging Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA.

Abstract

Insights

Smearing artifacts in macaque diffusion tensor imaging (DTI) were caused by skull anatomy. A novel 3D shimming technique significantly reduced these artifacts, improving brain imaging quality.

Area of Science:

  • Neuroimaging
  • Primate Neuroscience
  • Biomedical Engineering

Background:

  • Diffusion Tensor Imaging (DTI) studies in macaques are susceptible to smearing artifacts on clinical 3T scanners.
  • These artifacts impact the accuracy of diffusion-weighted images and fractional anisotropy (FA) maps.
  • Irregular macaque frontal skull geometry and anatomy contribute to incomplete fat suppression, causing these artifacts.

Purpose of the Study:

  • To investigate the cause of smearing artifacts in macaque DTI.
  • To evaluate methods for reducing these artifacts in non-human primate brain imaging.
  • To optimize DTI protocols for clinical settings.

Main Methods:

  • Acquisition of DTI images using a single-shot echo-planar imaging (EPI) sequence with parallel imaging.
  • Evaluation of artifacts in four adult macaques.
  • Implementation and assessment of a novel three-dimensional (3D) shimming procedure.

Main Results:

  • Smearing artifacts were identified as originating from incomplete fat suppression due to cranial anatomy.
  • The novel 3D shimming procedure substantially reduced the observed smearing artifacts.
  • Fractional anisotropy (FA) maps showed improved clarity after artifact reduction.

Conclusions:

  • A robust 3D shimming approach effectively minimizes smearing artifacts in macaque brain DTI.
  • This optimized DTI protocol is suitable for examining brain connectivity and white matter integrity in non-human primates.
  • The findings support the use of clinical scanners for advanced primate neuroimaging research.

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