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Updated: Aug 11, 2025

Molecular Diffusion in Plasma Membranes of Primary Lymphocytes Measured by Fluorescence Correlation Spectroscopy
Published on: February 1, 2017
Diffusion time dependency of extracellular diffusion.
Junzhong Xu1,2,3,4, Jingping Xie1, Natenael B Semmineh5
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
The power-law dependence of extracellular water diffusion varies with diffusion time in diffusion MRI (dMRI). A single power-law model does not fit all diffusion times, crucial for accurate microstructural imaging in cancer and liver tissues.
Area of Science:
- Biophysics
- Medical Imaging
- Materials Science
Background:
- Diffusion MRI (dMRI) measures water diffusion to infer tissue microstructure.
- Extracellular water diffusion is influenced by tissue properties and measurement parameters.
- Understanding diffusion time dependence is key for quantitative microstructural analysis.
Purpose of the Study:
- To quantify variations in power-law dependencies of extracellular water diffusion.
- To investigate the relationship between diffusion time and extracellular diffusion coefficient ().
- To assess the applicability of power-law models in diffusion MRI (dMRI).
Main Methods:
- Utilized cellular models and computer simulations of randomly packed tissues.
- Performed dMRI measurements on liposome suspensions in heavy and regular water.
- Obtained extracellular diffusion coefficient () over a broad diffusion time () range (1-1000 ms).
- Fitted power-law equations to the experimental and simulated data.
Main Results:
- No single power-law adequately describes extracellular diffusion across all diffusion times ().
- Previous theoretical models are accurate only over limited ranges.
- Empirically, a power-law fit matched data well for the typical dMRI range of 5-70 ms.
Conclusions:
- The optimal power-law fit for extracellular diffusion is dependent on diffusion time ().
- Extrapolation of short or long dependencies is unsuitable for typical dMRI in cancer or liver.
- Selecting the appropriate range is critical for accurate dMRI-based microstructural imaging.
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