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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Motion-compensated diffusion encoding in multi-shot human brain acquisitions: Insights using high-performance

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Second-order motion compensation significantly reduces phase variability in human brain diffusion MRI. This advance makes multi-shot acquisitions more reliable, overcoming limitations of older correction methods.

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Diffusion MRI

Background:

  • Motion artifacts are a significant challenge in multi-shot diffusion MRI.
  • Phase variability due to physiological motion (e.g., brain pulsation) degrades image quality.
  • Advanced motion compensation techniques are needed to improve robustness.

Purpose of the Study:

  • To assess the effectiveness of second-order motion-compensated diffusion encoding.
  • To evaluate its utility in multi-shot human brain imaging.
  • To compare different orders of motion compensation and phase correction strategies.

Main Methods:

  • Experiments utilized high-performance gradients with zeroth-order (PG), first-order (MC1), and second-order (MC2) motion compensation.
  • Single-shot acquisitions correlated motion compensation order with phase variability.
  • Multi-shot acquisitions were performed with varying interleaving factors and reconstructed using different phase correction levels (none, navigator, MUSE).

Main Results:

  • MC2 encoding most effectively suppressed phase variability and sensitivity to brain pulsation.
  • MC2 multi-shot images were high-quality with navigator correction, outperforming PG and MC1.
  • MC2 navigator-corrected images showed good agreement and reliability, especially at higher interleaving factors where MUSE failed.

Conclusions:

  • Second-order motion-compensated diffusion encoding effectively mitigates shot-to-shot phase variability.
  • This simplifies multi-shot acquisition strategies for human brain imaging.
  • It offers an improved approach compared to retrospective phase correction methods.