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Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
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Microstructure with diffusion MRI: what scale we are sensitive to?

Valerij G Kiselev1

  • 1Medical Physics, Dpt. of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Journal of Neuroscience Methods
|August 18, 2020
PubMed
Summary
This summary is machine-generated.

Microstructure MRI (μMRI) evaluates cellular tissue architecture. This review explores diffusion MRI techniques, balancing measurement capabilities with result interpretability for cellular analysis.

Keywords:
Cellular structureDTIDWIDiffusionDiffusion MRIMicrostructureMicrostructure MRI

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Area of Science:

  • Biomedical Imaging
  • Biophysics
  • Cellular Biology

Background:

  • Diffusion-weighted MRI is a foundational technique for microstructure MRI (μMRI).
  • μMRI aims for in vivo evaluation of cellular tissue architecture.
  • Understanding cellular structures requires advanced imaging methods.

Purpose of the Study:

  • To review spatiotemporal scales of microstructure accessible via diffusion MRI.
  • To discuss the balance between measurability and interpretability in diffusion MRI results.
  • To explore how diffusion weighting can be optimized for specific cell geometries.

Main Methods:

  • Classification of diffusion phenomena and models in the q-t-plane using narrow gradient pulses.
  • Exploration of the three-dimensional parameter space of Stejskal-Tanner diffusion weighting.
  • Discussion of modern measurement techniques with multiple parameters.

Main Results:

  • Different diffusion MRI techniques probe varying spatiotemporal scales of tissue microstructure.
  • The choice of diffusion weighting impacts both the measurability and interpretability of results.
  • Optimizing diffusion weighting can enhance the sensitivity to specific cellular geometries.

Conclusions:

  • Diffusion MRI techniques offer versatile tools for probing tissue microstructure.
  • Careful consideration of measurement parameters is crucial for accurate cellular architecture evaluation.
  • Matching diffusion weighting to targeted cell species geometry improves imaging specificity.