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Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with

Nicholas Senn1,2, P James Ross3,4, Reina Ayde4,5

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Summary

Field-Cycling Imaging (FCI) reliably distinguishes brain tissue pathologies by measuring spin-lattice relaxation rate (R1) dispersion. This quantitative MRI technique offers repeatable markers for differentiating white matter and white matter hyperintensities in vivo.

Keywords:
Cerebral small vessel diseasesField-cycling imagingMagnetic resonance imagingNeuroimaging

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Area of Science:

  • Magnetic Resonance Imaging
  • Quantitative Neuroimaging
  • Biophysics

Background:

  • Field-Cycling Imaging (FCI) utilizes rapidly changing magnetic field strengths to measure spin-lattice relaxation rate (R1) dispersion.
  • R1 dispersion offers potential for novel quantitative biomarkers of brain pathology in vivo.
  • Small vessel disease impacts white matter integrity, necessitating advanced imaging techniques for characterization.

Purpose of the Study:

  • To determine the most effective approach for reliably estimating multi-field R1 dispersion measurements in brain tissue using FCI.
  • To assess the repeatability of R1 dispersion measurements in patients with small vessel disease.

Main Methods:

  • A repeatability study involving 20 participants with moderate to severe small vessel disease.
  • 3 Tesla MRI and FCI scans were acquired, with repeat scans 30 days apart.
  • R1 maps were generated at multiple field strengths (0.2, 2, 20, 200 mT) and analyzed using co-registered tissue labels for white matter (WM) and white matter hyperintensities (WMHs).

Main Results:

  • A specific fitted model demonstrated optimal image contrast between WM and WMH regions and adherence to the R1 dispersion model.
  • Significant effect sizes (Cohen's d = 3.07 for R1 at 0.2 mT, 1.48 for R1 dispersion slope) were observed between WM and WMH.
  • R1 dispersion measurements showed high repeatability between study visits.

Conclusions:

  • Multi-field R1 dispersion measurements using FCI can reliably differentiate between normal and abnormal brain tissues.
  • FCI provides repeatable quantitative markers for assessing white matter changes in small vessel disease.
  • This technique holds promise for improved in vivo characterization of brain pathologies.