Incomplete initial nutation diffusion imaging: An ultrafast, single-scan approach for diffusion mapping

Magn Reson Med. 2018 Apr;79(4):2198-2204. doi: 10.1002/mrm.26894. Epub 2017 Sep 3.


Purpose: Diffusion MRI is confounded by the need to acquire at least two images separated by a repetition time, thereby thwarting the detection of rapid dynamic microstructural changes. The issue is exacerbated when diffusivity variations are accompanied by rapid changes in T2 . The purpose of the present study is to accelerate diffusion MRI acquisitions such that both reference and diffusion-weighted images necessary for quantitative diffusivity mapping are acquired in a single-shot experiment.

Methods: A general methodology termed incomplete initial nutation diffusion imaging (INDI), capturing two diffusion contrasts in a single shot, is presented. This methodology creates a longitudinal magnetization reservoir that facilitates the successive acquisition of two images separated by only a few milliseconds. The theory behind INDI is presented, followed by proof-of-concept studies in water phantom, ex vivo, and in vivo experiments at 16.4 and 9.4 T.

Results: Mean diffusivities extracted from INDI were comparable with diffusion tensor imaging and the two-shot isotropic diffusion encoding in the water phantom. In ex vivo mouse brain tissues, as well as in the in vivo mouse brain, mean diffusivities extracted from conventional isotropic diffusion encoding and INDI were in excellent agreement. Simulations for signal-to-noise considerations identified the regimes in which INDI is most beneficial.

Conclusions: The INDI method accelerates diffusion MRI acquisition to single-shot mode, which can be of great importance for mapping dynamic microstructural properties in vivo without T2 bias. Magn Reson Med 79:2198-2204, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: diffusion; isotropic encoding; magnetic resonance imaging; mean diffusivity; ultrafast MRI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Brain / diagnostic imaging*
  • Diffusion
  • Diffusion Magnetic Resonance Imaging*
  • Diffusion Tensor Imaging
  • Image Interpretation, Computer-Assisted / methods*
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Phantoms, Imaging
  • Radionuclide Imaging
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Signal-To-Noise Ratio