High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition

Wenchuan Wu, Benedikt A. Poser, Gwenaëlle Douaud, Robert Frost, Myung Ho In, Oliver Speck, Peter J. Koopmans, Karla L. Miller

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

High-resolution diffusion MRI can provide the ability to resolve small brain structures, enabling investigations of detailed white matter architecture. A major challenge for in vivo high-resolution diffusion MRI is the low signal-to-noise ratio. In this work, we combine two highly compatible methods, ultra-high field and three-dimensional multi-slab acquisition to improve the SNR of high-resolution diffusion MRI. As each kz plane is encoded using a single-shot echo planar readout, scan speeds of the proposed technique are similar to the commonly used two-dimensional diffusion MRI. In-plane parallel acceleration is applied to reduce image distortions. To reduce the sensitivity of auto-calibration signal data to subject motion and respiration, several new adaptions of the fast low angle excitation echo-planar technique (FLEET) that are suitable for 3D multi-slab echo planar imaging are proposed and evaluated. A modified reconstruction scheme is proposed for auto-calibration with the most robust method, Slice-FLEET acquisition, to make it compatible with navigator correction of motion induced phase errors. Slab boundary artefacts are corrected using the nonlinear slab profile encoding method recently proposed by our group. In vivo results demonstrate that using 7T and three-dimensional multi-slab acquisition with improved auto-calibration signal acquisition and nonlinear slab boundary artefacts correction, high-quality diffusion MRI data with ~1 mm isotropic resolution can be achieved.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalNeuroImage
Volume143
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

Keywords

  • 3D
  • 7T
  • Diffusion
  • High resolution
  • Multi-slab
  • Tractography

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