Optimizing Diffusion-Tensor Imaging Acquisition for Spinal Cord Assessment: Physical Basis and Technical Adjustments.

Journal Article (Journal Article;Review)

Diffusion-tensor imaging (DTI) has been used in the assessment of the central nervous system for the past 3 decades and has demonstrated great utility for the functional assessment of normal and pathologic white matter. Recent technical advances have permitted the expansion of DTI applications to the spinal cord. MRI of the spinal cord has traditionally been limited to conventional sequences, which provide information regarding changes in the anatomic shape of a structure or its signal intensity, suggesting the presence of a pathologic entity. However, conventional MRI lacks the ability to provide pathophysiologic information. DTI of the spinal cord can deliver pathophysiologic information on a molecular basis and thereby has several adjunctive uses. These advantages have yet to be fully evaluated, and therefore spinal DTI lacks widespread adoption. The barriers to implementation include a lack of understanding of the underlying physics principles needed to make necessary technical adjustments to obtain diagnostic images, as well as the need for standardization of protocols and postprocessing methods. The authors provide a comprehensive review of the physics of spinal cord DTI and the technical adjustments required to obtain diagnostic images and describe tips and tricks for accurate postprocessing. The primary clinical applications for spinal cord DTI are reviewed. Online supplemental material is available for this article. ©RSNA, 2020 See discussion on this article by Smith.

Full Text

Duke Authors

Cited Authors

  • Martín Noguerol, T; Barousse, R; Amrhein, TJ; Royuela-Del-Val, J; Montesinos, P; Luna, A

Published Date

  • March 2020

Published In

Volume / Issue

  • 40 / 2

Start / End Page

  • 403 - 427

PubMed ID

  • 32125961

Electronic International Standard Serial Number (EISSN)

  • 1527-1323

Digital Object Identifier (DOI)

  • 10.1148/rg.2020190058

Language

  • eng

Conference Location

  • United States