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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
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A time-efficient acquisition protocol for multipurpose diffusion-weighted microstructural imaging at 7 Tesla.

Farshid Sepehrband1,2, Kieran O'Brien1,3, Markus Barth1

  • 1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia.

Magnetic Resonance in Medicine
|February 14, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized diffusion-weighted MRI protocol for 7 Tesla scanners, enabling comprehensive brain imaging in under 11 minutes. The new method efficiently captures microstructural details for various neuroimaging techniques.

Keywords:
7 TeslaCSDDTINODDIWMTIdiffusion-weighted MRIminimum requirementoptimal acquisition range

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Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)
  • Diffusion-Weighted Imaging (DWI)

Background:

  • Diffusion-weighted MRI techniques offer valuable neuroanatomical insights but often require lengthy acquisition times.
  • Existing methods have varying optimal designs, limiting comprehensive analysis, especially under time constraints.

Purpose of the Study:

  • To develop and validate a time-efficient diffusion-weighted MRI acquisition scheme at 7 Tesla.
  • To enable comprehensive microstructural imaging of the brain within a reduced timeframe for researchers and clinicians.

Main Methods:

  • Testing b-values from 700 to 3000 s/mm² with varying angular diffusion-encoding samples.
  • Comparing acquisition protocols against a data-driven "gold standard" for validation.

Main Results:

  • A recommended protocol uses b-values of 1000 and 2500 s/mm² with 25 and 50 uniformly distributed samples across two shells.
  • Several other protocols demonstrated high correlation with the gold standard when fitting microstructural models.

Conclusions:

  • Minimum acquisition requirements were estimated for diffusion tensor imaging, higher angular resolution diffusion-weighted imaging, neurite orientation dispersion and density imaging, and white matter tract integrity.
  • The optimized protocol achieves isotropic 1.8 mm resolution across the whole brain in under 11 minutes.