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

Andrada Ianuş1,2, Noam Shemesh1

  • 1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Magnetic Resonance in Medicine
|September 5, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces incomplete initial nutation diffusion imaging (INDI), a novel diffusion MRI technique. INDI enables rapid, single-shot acquisition, overcoming limitations in detecting dynamic microstructural changes.

Keywords:
diffusionisotropic encodingmagnetic resonance imagingmean diffusivityultrafast MRI

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Area of Science:

  • Magnetic Resonance Imaging
  • Biomedical Engineering
  • Neuroscience

Background:

  • Diffusion MRI is limited by long acquisition times, hindering the study of rapid microstructural changes.
  • T2 variations accompanying diffusivity changes further complicate conventional diffusion MRI.
  • Current methods struggle to capture fast dynamic processes in vivo.

Purpose of the Study:

  • To accelerate diffusion MRI acquisition to a single-shot experiment.
  • To enable quantitative diffusivity mapping without T2 bias.
  • To detect rapid dynamic microstructural changes in vivo.

Main Methods:

  • Introduced incomplete initial nutation diffusion imaging (INDI) methodology.
  • INDI acquires two diffusion contrasts within a single shot, milliseconds apart.
  • Validated INDI through phantom, ex vivo, and in vivo experiments at 16.4 and 9.4T.

Main Results:

  • INDI-derived mean diffusivities closely matched diffusion tensor imaging and two-shot methods in phantoms.
  • Excellent agreement was observed between INDI and conventional methods in ex vivo and in vivo mouse brains.
  • Simulations identified optimal signal-to-noise conditions for INDI application.

Conclusions:

  • INDI accelerates diffusion MRI to single-shot acquisition.
  • This acceleration is crucial for mapping dynamic in vivo microstructural properties.
  • INDI mitigates T2 bias in diffusion MRI measurements.