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Related Concept Videos

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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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Image formation in diffusion MRI: A review of recent technical developments.

Wenchuan Wu1, Karla L Miller1

  • 1FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.

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|February 15, 2017
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This review covers new technical advances in diffusion magnetic resonance imaging (dMRI) for better brain imaging. It focuses on enhancing image quality, speeding up scans, and improving signal clarity for neuroscience research.

Keywords:
accelerated imagingdiffusion MRIhigh-resolution imagingimage artifactsnavigationpulse sequence

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Medical Physics

Background:

  • Diffusion magnetic resonance imaging (dMRI) is crucial for clinical neurology and neuroscience.
  • Current dMRI methods, like single-shot echo-planar imaging, face challenges including blurring, distortion, and low resolution.
  • These limitations hinder detailed analysis of neuroanatomy, particularly white matter connectivity.

Purpose of the Study:

  • To review recent technical developments in diffusion MRI image formation.
  • To highlight advancements aimed at overcoming current acquisition limitations.
  • To provide an overview of progress in improving dMRI quality and efficiency.

Main Methods:

  • Review of recent technical literature on diffusion MRI acquisition and image formation.
  • Categorization of advancements into key areas of development.
  • Discussion of methods for improving image fidelity, acquisition speed, and signal-to-noise ratio.

Main Results:

  • Significant technical progress has been made in diffusion MRI image formation.
  • Key areas of advancement include enhancing image fidelity, accelerating data acquisition, and increasing signal-to-noise ratio.
  • These developments promise more detailed and reliable neuroimaging.

Conclusions:

  • Recent technical innovations are significantly improving diffusion MRI capabilities.
  • Enhanced image fidelity, faster acquisition, and better signal-to-noise ratios are key outcomes.
  • These advancements will further solidify dMRI's role in clinical neurology and neuroscience research.