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Updated: Oct 22, 2025

Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
Published on: August 22, 2018
Assessment of the effects of mimicking tissue microstructural properties on apparent diffusion coefficient and
Xiaodong Li1, Yafei Bai1, Yupeng Liao1
1Laboratory of Biophysics, School of Medicine, South China University of Technology, Guangzhou, Guangdong, China.
Purpose:
Diffusion MRI provides a valuable tool for imaging tissue microstructure. However, due to the lack of related experimental methods and specially designed phantoms, no experimental study has been conducted yet to quantitatively assess the effects of membrane permeability, intracellular volume fraction (IVF), and intracellular diffusivity on the apparent diffusion coefficient (ADC) obtained from diffusion weighted imaging (DWI), and the effects of membrane permeability on the apparent exchange rate (AXR) obtained from filter exchange imaging (FEXI).
Methods:
A series of phantoms with three adjustable parameters was designed to mimic tissue microstructural properties including membrane permeability, IVF, and intracellular diffusivity. Quantitative experiments were conducted to assess the effects of these properties on ADC and AXR. DWI scans were performed to obtain axial and radial ADC values. FEXI scans were performed to obtain AXR values.
Results:
Axial ADC values range from 1.148 μm2 /ms to 2.157 μm2 /ms, and radial ADC values range from 0.904 μm2 /ms to 2.067 μm2 /ms. Radial ADC decreased with a decrease in fiber permeability. Decreased axial and radial ADC values with increased intra-fiber volume fraction, and increased polyvinylpyrrolidone (PVP) concentration of the intra-fiber space were observed. AXR values range from 2.1 s-1 to 4.9 s-1 . AXR increases with fiber permeability.
Conclusion:
The proposed phantoms can quantitatively evaluate the effects of mimicking tissue microstructural properties on ADC and AXR. This new phantom design provides a potential method for further understanding the biophysical mechanisms underlying the change in ADC and diffusion exchange.
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