The quest for high spatial resolution diffusion-weighted imaging of the human brain in vivo

Samantha J Holdsworth1, Rafael O'Halloran2, Kawin Setsompop3

  • 1Department of Anatomy Medical Imaging & Centre for Brain Research, University of Auckland, Auckland, New Zealand.

NMR in Biomedicine
|February 8, 2019
PubMed

Insights

Diffusion-weighted imaging (DWI) uses MRI to assess tissue microstructure. New MRI techniques improve DWI spatial resolution by overcoming motion-related errors, enhancing image quality for better insights.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biomedical Engineering
  • Medical Imaging Physics

Background:

  • Diffusion-weighted imaging (DWI) is a unique MRI contrast method for in vivo tissue microstructure assessment.
  • DWI's sensitivity to microstructural details makes it vulnerable to motion artifacts, historically limiting its spatial resolution.
  • Previous limitations necessitated restricted acquisition techniques, resulting in lower spatial resolution compared to other MRI applications.

Purpose of the Study:

  • To review advanced MRI pulse sequences and techniques enhancing diffusion-weighted imaging.
  • To highlight methods pushing the boundaries of image quality and spatial resolution in DWI.
  • To address the challenge of motion artifacts in high-resolution DWI.

Main Methods:

  • Focus on novel pulse sequences specifically developed for diffusion-weighted MRI.
  • Review of associated techniques designed to mitigate motion artifacts.
  • Exploration of methodologies enabling higher spatial resolution in DWI acquisitions.

Main Results:

  • Recent advances in MRI methodology are enabling higher spatial resolution in DWI.
  • New techniques are pushing the limits of image quality in diffusion-weighted MRI.
  • Developmental pulse sequences show promise in overcoming motion-related limitations.

Conclusions:

  • Ongoing advancements in MRI techniques are significantly improving DWI capabilities.
  • These developments are crucial for achieving higher spatial resolution and better image quality in diffusion-weighted imaging.
  • The reviewed methods offer potential for more detailed in vivo tissue microstructure analysis.

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