Effect of intravoxel incoherent motion on diffusion parameters in normal brain

Casey Vieni1, Benjamin Ades-Aron2, Bettina Conti3

  • 1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA; Medical Scientist Training Program, New York University School of Medicine, New York, NY, USA.

Neuroimage
|October 4, 2019
PubMed

Insights

Intravoxel incoherent motion (IVIM) significantly impacts brain diffusion MRI signals, particularly in gray matter. This study quantifies the IVIM effect and its age-related changes in normal brain tissues.

Area of Science:

  • Neuroimaging
  • Biophysics
  • Medical Physics

Background:

  • Diffusion MRI is sensitive to intravoxel incoherent motion (IVIM) from microcirculation.
  • IVIM's impact on normal brain tissue diffusion MRI signals is not fully understood.
  • Previous studies focused on IVIM in tumors and body perfusion.

Purpose of the Study:

  • To investigate and quantify the IVIM effect on diffusion MRI signals in normal brain tissue.
  • To assess the IVIM signal fraction (f*) in different brain regions.
  • To explore the relationship between IVIM and demographic factors like age and gender.

Main Methods:

  • Diffusion MRI data acquired from 137 healthy adult patients.
  • Comparison of diffusion tensor parameters using mono-exponential fits at different b-values (0/1000 vs. 250/1000 s/mm²).
  • Quantitative assessment of IVIM signal fraction (f*) using an asymptotic fitting method.

Main Results:

  • Significant IVIM effect observed, with higher impact in cortical gray matter (7.8%) than white matter (4.5%) or thalamus (4.3%).
  • Perfusion fraction (f*) estimated as 0.033 in WM, 0.066 in cortical GM, and 0.033 in thalamus.
  • f* significantly increased with age in cortical GM and thalamus, but not in WM; no gender effect on f* was found.

Conclusions:

  • IVIM is a measurable phenomenon in normal brain tissue, affecting diffusion MRI quantification.
  • The perfusion fraction (f*) varies across brain regions and increases with age in GM and thalamus.
  • These findings are crucial for accurate diffusion MRI analysis and understanding brain physiology.

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