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Peripheral nerve diffusion tensor imaging: Overview, pitfalls, and future directions.

Tina Jeon1, Maggie M Fung2, Kevin M Koch3

  • 1Department of Radiology and Imaging, Hospital for Special Surgery, New York, New York, USA.

Journal of Magnetic Resonance Imaging : JMRI
|October 31, 2017
PubMed
Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) is an MRI technique used for nerve pathology. This article discusses technical challenges and solutions for applying DTI in clinical settings, especially for peripheral nerves.

Keywords:
diffusion tensor imagingmagnetic resonance imagingmagnetic resonance neurographyperipheral nervestractography

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Diffusion tensor imaging (DTI) is a noninvasive MRI technique measuring water diffusion and anisotropy.
  • DTI is increasingly used for peripheral nerve pathology, including entrapment neuropathy, traumatic injury, and tumors.
  • Artifacts in DTI are more significant when imaging off-isocenter, impacting peripheral nerve evaluation.

Purpose of the Study:

  • To provide an overview of technical challenges in applying DTI to peripheral nerves.
  • To discuss common artifacts encountered in peripheral nerve DTI.
  • To offer potential solutions for overcoming these technical issues in clinical settings.

Main Methods:

  • Review of technical issues and artifacts in peripheral nerve DTI.
  • Discussion of magnetic field inhomogeneity, motion, incomplete fat suppression, aliasing, and distortion.
  • Emphasis on the need for high spatial resolution for evaluating small peripheral nerves.

Main Results:

  • DTI artifacts are exacerbated when imaging off-isocenter.
  • Key artifacts in peripheral nerve DTI include magnetic field inhomogeneity, motion, incomplete fat suppression, aliasing, and distortion.
  • High spatial resolution is crucial for reliable evaluation of smaller peripheral nerves.

Conclusions:

  • Applying DTI to peripheral nerves presents unique technical challenges.
  • Understanding and mitigating artifacts are essential for accurate clinical DTI application.
  • Potential solutions are offered to improve the clinical utility of DTI for peripheral nerve assessment.