Moritz Schneider1, Thomas Gaaß1,2, Julien Dinkel1,2, Michael Ingrisch1, Maximilian F Reiser1, and Olaf Dietrich1
1Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany, 2Comprehensive Pneumology Center, German Center for Lung Research, Munich, Germany
Synopsis
In this study we
present intravoxel incoherent motion (IVIM) measurements in a flow phantom consisting
of a 3-dimensional capillary network made from melt-spun, sacrificial sugar
structures embedded in a synthetic resin. IVIM parameters were determined at varying
water flow rates. The pseudodiffusion D* (associated with flow velocity) as
well as the product D*×f (which constitutes a measure of flow) show proportionality
to the applied flow rates. These results demonstrate that the presented flow
phantom is ideal to assess the applicability of IVIM measurements and influence
factors such as flow rates, capillary diameter or acquisition parameters.Purpose
Diffusion-weighted
magnetic resonance imaging (DW-MRI) allows for the quantification of the self-diffusion
of water molecules in biological tissue by calculating the apparent diffusion
coefficient (ADC). In perfused tissue,
the intravoxel incoherent motion (IVIM) model proposed by Le Bihan et al.
1 more accurately describes the signal attenuation
as a function of the diffusion weighting. By introducing a second, faster
decaying exponential IVIM accommodates for molecular motion caused by perfusory
effects.
While several in vivo studies already
suggest the feasibility of IVIM as a diagnostic tool, efforts are still made to
realistically model microvasculature for a controlled and detailed analysis of
influence factors on the IVIM signal characteristics. In previous studies, IVIM
effects were simulated via spongy and porous structures, which produce
incoherent motion merely indirectly
1–3.
The purpose of this project was to demonstrate IVIM measurements in a phantom
which realistically models a 3-dimensional capillary network.
Materials and Methods
A 3-dimensional capillary
network was formed using melt-spun sugar fibers embedded into synthetic resin
as proposed by Bellan et al4. Sugar fibers were produced with a modified
cotton candy machine (Candyland, Klarstein, Berlin, Germany), which was
optimized in terms of rotational speed and heating temperature to adjust the
diameter of the sugar filaments. Subsequently, the fiber balls were placed in a
PET mold (5×3×2cm³), covered with a two-component resin (E45GB,
Breddermann Kunstharze, Schapen, Germany) and provided with an inlet and an
outlet. After curing, the phantom was placed in a bath of water and ethanol for
several days to dissolve the sugar fiber network embedded in the resin. Once
dissolved, controlled water flow through the phantom was induced via a Harvard
Apparatus (PHD 2000, Harvard Bioscience Inc., Holliston, Massachusetts, United
States) at varying flow rates (0-0.5ml/min). Extensive IVIM measurements were
performed on a 3 T whole-body MRI system (Skyra, Siemens Healthcare, Erlangen,
Germany) using a wrist coil and a single-shot EPI sequence (TR/TE=4000ms/53ms;
b-values=0,10,20,30,40,50,60,80,100,150,200,300,400,500,600 s/mm²; matrix=64x64;
FoV=320x320mm²; slice thickness=5mm; 10 averages, PAT 2 (GRAPPA), acquisition
time 29 min). Signal intensities were averaged over a region of interest
covering the capillary network but excluding the inlet and outlet. IVIM
parameters (slow diffusion D, pseudodiffusion D* and perfusion fraction f) were
estimated using a non-linear least-squares fit.
Furthermore, to assess
the fractional anisotropy (FA), a DTI sequence was employed with 64 averages at
b=0 s/mm² and 30 diffusion gradient directions at b=600 s/mm² (10 averages
each); TR/TE=1000/52ms; spatial resolution as above; acquisition time 24 min.
Results
Figure 1 shows the
manufactured flow phantom after the sugar fibers were dissolved with the capillary
network clearly visible in the lower part of the mold. IVIM parameters
determined at different flow rates are summarized in Table 1. Measured signal
intensities and the fitted IVIM curves as well as parameter estimates plotted versus
the flow rates are displayed in Figure 2. Figure 3 shows images of the
capillary network taken with an optical microscope (Leica DM 2500); spot tests
of capillary diameters yielded a range of 4 to 40 µm. The voxel-wise calculated
FA was determined to be 0.12±0.04 inside the capillary network.
Discussion and Conclusion
Our study represents
the first attempt at performing IVIM measurements in a phantom that
realistically mimics blood flow in a capillary bed. Capillary diameters of 4 to
40 µm suggest the dissolved sugar fiber network closely approximates the
geometry of in vivo capillaries5. A quasi isotropic alignment of the capillary
fibers within the imaging voxels was confirmed by a low fractional anisotropy
of 0.12, giving rise to the applicability of the IVIM model to our phantom.
The self-diffusion of water molecules is clearly restricted inside the
capillaries, as the diffusion coefficient determined without flow is
considerably less than what is expected from free diffusing water at room
temperature (~2×10
-3mm²/s).
The presence of two compartments and of a perfusion fraction f<1 can be
explained by fluid-filled dead ends and microspheres (inherent to the molding
process), numerous of which were observed by light microscopy. In accordance
with the IVIM theory, the pseudodiffusion D*, which can be associated with the
flow velocity inside the capillaries6, as well as the product D*×f, constituting a
measure of flow6, show proportionality to the applied flow
rate.
These results demonstrate that the presented flow phantom is ideal to assess
the applicability of IVIM measurements and influence factors such as flow rates,
fiber density, fiber diameter, or acquisition parameters (field strength,
gradient schemes, b-values, etc).
Acknowledgements
No acknowledgement found.References
1. Le Bihan D, Breton E, Lallemand D, et
al. Separation of diffusion and perfusion in intravoxel incoherent motion MR
imaging. Radiology. 1988;168(2):497–505.
2. Cho GY, Kim S, Jensen JH, et al. A versatile flow
phantom for intravoxel incoherent motion MRI. Magn. Reson. Med.
2012;67(6):1710–1720.
3. Lorenz CH, Pickens DR, Puffer DB, et al. Magnetic
resonance diffusion/perfusion phantom experiments. Magn. Reson. Med.
1991;19(2):254–260.
4. Bellan LM, Singh SP, Henderson PW, et al.
Fabrication of an artificial 3-dimensional vascular network using sacrificial
sugar structures. Soft Matter. 2009;5(7):1354.
5. Robert A. Freitas Jr. Nanomedicine, Volume 1:
Basic Capabilities. Georgetown, TX; 1999.
6. Bihan DL, Turner R. The capillary network: a link
between ivim and classical perfusion. Magn. Reson. Med. 1992;27(1):171–178.