Size Distribution Imaging by Non-Uniform Oscillating-Gradient Spin Echo (NOGSE) MRI

Area of Science:

• Biophysics
• Materials Science
• Neuroscience

Background:

• Complex porous systems in nature exhibit diverse size distributions crucial for their properties.
• Accurate, noninvasive measurement of size distributions in opaque, 3D objects remains a significant challenge.
• Understanding these distributions is vital for applications ranging from catalysis to neuroscience.

Purpose of the Study:

• To introduce and validate Non-Uniform-Oscillating-Gradient-Spin-Echo (NOGSE) as a noninvasive method for determining size distributions.
• To demonstrate NOGSE's sensitivity and reliability in characterizing μm-scaled cellular systems.
• To showcase NOGSE's potential for in vivo imaging of cellular size distributions.

Main Methods:

• Utilized diffusion-based magnetic resonance methodology, NOGSE, with a (length)6 parametric sensitivity.
• Performed theoretical derivations and simulations to verify size distribution reconstruction.
• Conducted experiments on yeast cell suspensions and mouse brain MRI.

Main Results:

• NOGSE successfully determined size distributions in μm-scaled cellular systems.
• Experimental results in yeast suspensions corroborated theoretical predictions.
• Novel MRI maps of cellular size distributions delineated anatomical sub-structures in mouse brain white and gray matter.

Conclusions:

• NOGSE offers a sensitive and noninvasive approach for characterizing cellular size distributions.
• The method has significant potential for diagnosing diseases and studying developmental processes by detecting aberrations in cellular size.
• NOGSE provides valuable micro-architectural contrast for biological tissues.