Diffusion MRI of the Body: Beyond PGSE-EPI

Matthew T Cherukara1, Wenbo Sun1, David Leitão1

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Insights

This review explores advanced diffusion MRI (dMRI) techniques beyond standard methods for body imaging. Non-standard diffusion encoding and readout strategies offer improved resolution and reduced artifacts for clinical applications.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Radiology

Background:

  • Diffusion magnetic resonance imaging (dMRI) is crucial for assessing tissue microstructure in clinical settings.
  • Standard dMRI (PGSE-EPI) offers speed but suffers from low resolution and artifacts.
  • Existing non-standard techniques, primarily developed for brain imaging, show promise for body applications.

Purpose of the Study:

  • To review major non-standard diffusion encoding and image readout strategies in body dMRI.
  • To explore the clinical applications of these advanced techniques in non-brain regions.
  • To assess the strengths and benefits of various methods for different clinical contexts.

Main Methods:

  • Systematic review of diffusion encoding strategies (e.g., b-tensor encoding).
  • Analysis of advanced image readout techniques (e.g., parallel imaging, compressed sensing).
  • Evaluation of clinical case studies and reported outcomes for body dMRI applications.

Main Results:

  • Non-standard techniques address limitations of PGSE-EPI, offering higher resolution and artifact mitigation.
  • Specific methods demonstrate enhanced sensitivity to microstructural changes in various organs.
  • Successful applications in diverse clinical scenarios, including oncology and neurology.

Conclusions:

  • Non-standard dMRI techniques hold significant potential to enhance diagnostic value and efficiency in body imaging.
  • Further standardization and validation are necessary for widespread clinical adoption.
  • These advanced methods promise to expand the utility of dMRI beyond the brain.

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