A robust multi-shot scan strategy for high-resolution diffusion weighted MRI enabled by multiplexed sensitivity-encoding (MUSE)

Nan kuei Chen, Arnaud Guidon, Hing Chiu Chang, Allen W. Song

Research output: Contribution to journalArticlepeer-review

172 Scopus citations

Abstract

Diffusion weighted magnetic resonance imaging (DWI) data have been mostly acquired with single-shot echo-planar imaging (EPI) to minimize motion induced artifacts. The spatial resolution, however, is inherently limited in single-shot EPI, even when the parallel imaging (usually at an acceleration factor of 2) is incorporated. Multi-shot acquisition strategies could potentially achieve higher spatial resolution and fidelity, but they are generally susceptible to motion-induced phase errors among excitations that are exacerbated by diffusion sensitizing gradients, rendering the reconstructed images unusable. It has been shown that shot-to-shot phase variations may be corrected using navigator echoes, but at the cost of imaging throughput. To address these challenges, a novel and robust multi-shot DWI technique, termed multiplexed sensitivity-encoding (MUSE), is developed here to reliably and inherently correct nonlinear shot-to-shot phase variations without the use of navigator echoes. The performance of the MUSE technique is confirmed experimentally in healthy adult volunteers on 3. Tesla MRI systems. This newly developed technique should prove highly valuable for mapping brain structures and connectivities at high spatial resolution for neuroscience studies.

Original languageEnglish (US)
Pages (from-to)41-47
Number of pages7
JournalNeuroImage
Volume72
DOIs
StatePublished - May 5 2013
Externally publishedYes

Keywords

  • Diffusion weighted imaging
  • Inherent phase correction
  • Interleaved echo-planar imaging
  • Multi-shot echo-planar imaging
  • Multiplexed sensitivity-encoding

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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