Xiaodong Li1, Yafei Bai1, Yupeng Liao1, and Sherman Xuegang Xin1
1South China University of Technology, Guangzhou, China
Synopsis
The apparent diffusion coefficient (ADC)
provided by diffusion-weighted magnetic resonance imaging (DW-MRI) has been
used clinically for nearly three decades. Some hypotheses
have been proposed to explain the change in ADC, including the change in membrane permeability, intracellular volume fraction
(IVF), tortuosity of extracellular spaces, and intracellular diffusivity. However,
no experimental study has been
conducted to quantitatively assess the
effects of these parameters on the ADC measurements. Experimental study is helpful
to understand the biophysical mechanisms underlying the change in the ADC. Here,
we designed a series of multi-parameter phantoms to conduct a quantitative experimental
study.
Introduction
The apparent diffusion
coefficient (ADC) provided by diffusion-weighted magnetic resonance imaging
(DW-MRI) has been used clinically for nearly three decades.Some hypotheses have been proposed that the change in ADC is
determined by the change in some cellular parameters in tissue, including membrane permeability1,2, intracellular volume fraction (IVF)1,3,
tortuosity of extracellular spaces1,3, and intracellular diffusivity1,4. However, quantitative experimental study on the effect of these parameters on the ADC
measurements has not been conducted. This
study presents
a series of phantoms with adjustable parameters to conduct a
quantitative experimental measurement. Three
phantom parameters (i.e., fiber
permeability, volume fraction, and polyvinylpyrrolidone
(PVP) concentration of the intra-fiber spaces) were
used to characterize three cellular parameters
(i.e., membrane permeability, intracellular volume fraction, and diffusivity), respectively.Methods
SEM Characterization of PES Fibers: Hollow polyethersulfone (PES)
(Bain Medical, Guangzhou, China) fibers form the
skeleton of the phantom. The inner surface, outer surface, and
cross section of the PES fibers were imaged with a Merlin scanning
electron microscope (SEM). To
achieve different fiber permeabilities, two kinds of PES fibers with different
pore diameters on the inner surface were obtained. Figure 1A shows
the representative SEM images of two fibers. Figure 1B shows the pore diameter distribution
on the inner surface. The mean pores diameters are approximately 2 and 5 nm. Two
fibers have the same inner diameter and wall thickness, the values are
200 ± 10 and 40 ± 7 μm, respectively.
Phantom Construction: Each phantom (Figure 1C) consists of three parts: PES fibers, housing (polypropylene, PP), and PVP filling
solutions. To obtain different volume fractions of the intra-fiber spaces,
three sets of fibers with different packing densities were selected to construct the phantoms. The
calculated volume fractions were approximately 0.297, 0.327, and 0.356. PES
fibers were inserted into the housing and tightly fixed in the
housing using potting layers (Figure 1D).
The
filling process was performed with PVP (K30 with 58 kg/mol,
Macklin, Shanghai, China) aqueous solutions made with distilled water. Five initial PVP solutions with 0%, 10%, 20%, 30%, and 40% (w/w)
concentrations were prepared. Two phantom spaces were quickly filled
with different PVP solutions. The different diffusivities were achieved
by controlling the PVP concentration5. In Figure 2A, blue arrows point to the “inlet”
and “outlet” of the intra-fiber spaces during filling. Red arrows mark similar locations for other spaces. We filled 48 phantoms. The 0% and
20% solutions respectively filled the inter-fiber spaces. At
the 0% solution, five solutions respectively filled
the intra-fiber spaces. At the 20% solution, the 20%, 30%, and 40%
solutions filled the intra-fiber spaces.
Diffusion Weighted Imaging: DWI scans were performed on a 3T MRI system (BASDA MEDICAL,
Shenzhen, China). A twice-refocused spin echo
sequence was used for DWI acquisitions. The imaging parameters were as follows: diffusion weighted
gradients were applied along three orthogonal gradient axes, axial field of
view (FOV) = 180 mm, matrix = 144 × 144, slice thickness = 4 mm, slice
separation = 1 mm, read bandwidth = 1500 Hz/pixel, 20 slices, b = 0 and 1000
s/mm2, repetition time (TR) = 2600 ms, echo time (TE) = 90 ms. All
phantoms were immediately imaged after filling. The temperatures of the five initial
PVP solutions and all phantoms were maintained prior to each scanning and
reached the room temperature of approximately 22 ℃. Results and Discussion
The measured ADC values for
five initial solutions are 2.167 ± 0.016, 1.696 ± 0.029, 1.330 ± 0.032, 0.961 ± 0.026 and
0.643 ± 0.019 μm2/ms. These values are near the calculated ADC from the reported calibration curve5, which ensures that the phantom generates
the ADC values within the biologically reasonable range6.
Figure 2A-D show the ADC values of all phantoms. The ADC values range
from 0.986 μm2/ms to 2.097 μm2/ms. The ADC value
is small when the fiber permeability is low. Furthermore, the ADC decreases
with the increase in volume fraction and PVP concentration of the intra-fiber
spaces. Figure 2E-H show the representative parametric maps of the measured ADC values
in Figure 2A-D.
We further discuss the
percentage decrease in ADC. The percentage decreases respectively were up to 5.1% (Table
1), 11.3% (Table 2), and 30.0% (Table 3) with the decreased fiber permeability (from 5 nm to 2 nm), increased volume fraction of the intra-fiber spaces (from 0.297 to 0.356), and increased PVP concentration of the intra-fiber spaces (up to 40% (w/w)). Clearly, the
effect of the volume fraction of the intra-fiber spaces on the ADC measurement
depends on the PVP concentration of the intra-fiber spaces, and vice versa. For
instance, at the 30% (w/w) concentration of the intra-fiber spaces, the
reduction in ADC caused by increase in the volume fraction of the intra-fiber
spaces from 0.297 to 0.356 is less than 7%. However, at the 40% (w/w)
concentration of the intra-fiber spaces, the reduction in ADC is up to 11.3%
(Table 2).Conclusion
In this study, we presented a series of phantoms with adjustable parameters to quantitatively evaluate the effects of various cellular properties in tissue on the ADC measurements. This new phantom design provides a potential method for further understanding the biophysical mechanisms underlying
the change in ADC.Acknowledgements
National Natural Science Foundation of
China (grant number 61929101,61671229), National Key Research and Development
Program of China (No. 2016YFC0100800, 2016YFC0100801),
Science and Technology Program of Guangzhou, China (No. 201704020091), Science
and Technology Program of Guangdong, China (No. 2017B020229004).References
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