Assessment of Precision and Accuracy of Brain White Matter Microstructure using Combined Diffusion MRI and

Santiago Coelho1,2, Ying Liao1,2, Filip Szczepankiewicz3

  • 1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.

Arxiv
|March 11, 2024
PubMed

Insights

This study introduces an optimized MRI protocol for brain white matter, combining diffusion and relaxation measurements. This advanced method enhances sensitivity and specificity for analyzing tissue microstructure.

Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biophysics
  • Neuroimaging

Background:

  • Joint modeling of diffusion and relaxation in MRI offers complementary insights into tissue microstructure.
  • Characterizing brain white matter requires advanced imaging protocols to capture complex microstructural details.

Purpose of the Study:

  • To design and validate an optimal diffusion-relaxometry Magnetic Resonance Imaging (MRI) protocol for brain white matter.
  • To evaluate the sensitivity, specificity, and reproducibility of the proposed protocol compared to existing methods.

Main Methods:

  • Developed a variable-echo time (TE) diffusion-relaxometry MRI protocol with multiple b-values and B-tensor shapes.
  • Assessed protocol performance using synthetic data and in vivo scans of six healthy volunteers.
  • Compared the variable-TE protocol with fixed-TE and diffusion MRI (dMRI) only protocols.

Main Results:

  • The variable-TE protocol (27 min) includes subsets for fixed-TE (15 min) and dMRI (7 min) analysis.
  • It enables estimation of free water fractions and captures compartmental relaxation times.
  • Achieved voxelwise coefficients of variation below 10% for microstructure parameters.

Conclusions:

  • Joint diffusion-relaxation MRI provides a more comprehensive characterization of brain white matter microstructure.
  • The optimized variable-TE protocol offers a versatile tool for advanced neuroimaging research.
  • This approach holds potential for improved diagnostic capabilities in neurological conditions affecting white matter.