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Related Experiment Video

Updated: Sep 11, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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DIM: A diffusion instability measure for MRI quality assurance.

Tim Schmidt1,2, Zoltan Nagy1

  • 1Laboratory for Social and Neural Systems Research (SNS Lab), University of Zurich, Zurich, Switzerland.

Magnetic Resonance in Medicine
|August 11, 2025
PubMed
Summary

A new diffusion instability measure (DIM) quantifies image quality in high-angular-resolution diffusion imaging (HARDI) scans. This sensitive tool requires no hardware or software modifications for implementation.

Keywords:
MRIdiffusioninstabilitymagnetic field monitoringquality assurance

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Area of Science:

  • Medical Imaging
  • Diffusion MRI

Background:

  • High-angular-resolution diffusion imaging (HARDI) is crucial for neuroimaging.
  • Ensuring image quality in HARDI is essential for accurate results.
  • Current quality assurance methods may be limited.

Purpose of the Study:

  • To develop a Diffusion Instability Measure (DIM) for HARDI quality assurance.
  • To establish a quantitative metric for evaluating HARDI data integrity.

Main Methods:

  • Collected single-shot, spin-echo, echo-planar imaging HARDI diffusion data on phantoms using 3T scanners (Philips Achieva, Siemens Cima.X).
  • Calculated correlation coefficient matrices among diffusion directions.
  • Defined DIM as one minus the eigenratio of the correlation matrix.

Main Results:

  • DIM values varied significantly across datasets (5000–280,000 ppm).
  • Highest DIM (worst quality) observed with b-value = 4000 s/mm² on Philips Achieva.
  • Lowest DIM (best quality) observed with b-value = 500 s/mm² on Siemens Cima.X without field monitoring.

Conclusions:

  • DIM is a sensitive, quantitative tool for assessing HARDI image quality.
  • The method is simple to implement and does not require hardware or software modifications.
  • DIM aids in robust quality assurance for diffusion MRI studies.