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Diffusion propagator metrics are biased when simultaneous multi-slice acceleration is used.

L Tugan Muftuler1, Andrew S Nencka2, Kevin M Koch2

  • 1Department of Neurosurgery, Medical College of Wisconsin, 8701 Watertown Plk Rd., Milwaukee, WI 53226, USA.

Magnetic Resonance Imaging
|November 21, 2021
PubMed
Summary
This summary is machine-generated.

Simultaneous Multi-Slice (SMS) MRI accelerates brain scans but introduces noise and artifacts. This study found SMS acceleration significantly alters advanced diffusion metrics like Mean Apparent Propagator MRI (MAP-MRI), impacting brain microstructure analysis.

Keywords:
Diffusion MRIMAP-MRISMSSimultaneous multi-slice

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Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Quantitative MRI

Background:

  • Advanced diffusion MRI models offer higher accuracy for brain microstructure analysis but require long acquisition times.
  • Simultaneous Multi-Slice (SMS) imaging accelerates data acquisition by exciting and reconstructing multiple slices concurrently.
  • SMS acceleration can increase image noise and introduce slice crosstalk, potentially affecting quantitative diffusion imaging.

Purpose of the Study:

  • To investigate the impact of SMS acceleration on the accuracy of propagator metrics derived from Mean Apparent Propagator MRI (MAP-MRI).
  • To evaluate how different levels of SMS acceleration (2-band and 3-band) bias diffusion metrics in brain regions and major fiber tracts.

Main Methods:

  • Ten healthy volunteers underwent multi-shell diffusion MRI scans with SMS acceleration.
  • Group analyses were conducted to identify brain regions affected by SMS acceleration.
  • Diffusion metrics from atlas-based fiber tracts were analyzed to quantify bias in propagator metrics.

Main Results:

  • SMS acceleration significantly altered both zero-displacement and non-Gaussianity metrics in MAP-MRI.
  • MAP-MRI metrics showed significant differences between SMS-2 and SMS-3 acceleration.
  • The characteristics of the bias introduced by SMS acceleration changed with shorter repetition times (TR).

Conclusions:

  • SMS acceleration in diffusion MRI, particularly MAP-MRI, introduces significant bias in quantitative metrics.
  • The findings have critical implications for research using SMS-accelerated diffusion MRI to study brain diseases or injuries.
  • Careful consideration of SMS acceleration parameters is necessary to ensure the validity of diffusion MRI studies.