Xiaoke Wang1, Scott B Reeder1,2,3,4,5, and Diego Hernando2
1Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Practical
diffusion phantoms are urgently needed for technique development, protocol
harmonization and quality assurance of quantitative diffusion MRI. Ideally, a
diffusion phantom should have a single-peak NMR spectrum, Gaussian diffusion,
with a wide range of tunable apparent diffusion coefficients (ADC). In this
work, we developed and validated a novel diffusion phantom based on
acetone-water mixtures doped with MnCl2. This phantom exhibits the
desired signal behavior, where water modulates the ADC of acetone, and MnCl2
both eliminates water signal (through T2 shortening) and shortens the T1 of
acetone. Introduction
Quantitative
diffusion MRI has many important research and clinical applications. To assess
the accuracy and reproducibility of these techniques across sites and vendors, diffusion
phantoms are needed as a tool to enable testing under highly controlled
conditions. Phantoms are needed for technique development, data harmonization
in multi-center trials and quality assurance in both research and clinical
applications. Ideally, a diffusion phantom should provide desirable signal
behavior that include single-peak NMR spectrum, Gaussian diffusion, and a wide
range of tunable apparent diffusion coefficient (ADC) values at a well-controlled
temperature (eg: 0°C in an ice-water bath).
A recently
proposed phantom based on acetone-D2O satisfies these desirable
properties by using MR-invisible D2O to modulate the ADC of acetone
(which provides the signal)[1]. However, this phantom may be limited
by possible exchange between deuterium (from D2O) and hydrogen (from
acetone), giving rise to water signal after prolonged storage. Further, the
relatively long T1 of acetone limits the signal-to-noise ratio (SNR) of the
acetone-D2O phantom. In this work, we developed and validated a
novel diffusion phantom based on acetone-H2O mixtures doped with
MnCl2 in order to provide desirable signal behavior over a wide
range of ADC. In this phantom, water modulates the ADC of acetone, while MnCl2
serves the dual purpose of eliminating water signal (through T2 shortening) and
shortening acetone T1, while maintaining long acetone T2. The combination of
short T1 and long T2 of acetone is ideal for high SNR performance.
Methods
Phantom Construction: In order to test the ability of the
novel acetone- H2O-MnCl2 phantom to eliminate water
signal and shorten the T1 of acetone, while not altering the diffusion behavior
of acetone, we built a matrix of acetone-H2O phantoms with H2O
concentration of 5%,20%,40%(v/v) and MnCl2 molar concentration of (4,2,1,0.5,0.25,0.125,0.0625mM).
A 45ml cylindrical vial of such mixture was made for each combination. The
combination of 5% H2O and 4mM MnCl2 was excluded due to
limited solubility of MnCl2 at this H2O concentration.
MR Spectroscopy and Imaging: The R2 (=1/T2) of water and acetone were
measured using a multi-TE stimulated echo acquisition mode (STEAM) single-voxel
spectroscopy sequence[2]. Multiple sets of echo times ranging from
10-810ms were implemented to cover the wide range of R2 variation that water
and acetone signals experience. To
assess the diffusion behavior of the acetone-water-MnCl2 phantom
with different concentrations of MnCl2, diffusion-weighted
echo-planar imaging (DW-EPI) experiments were performed, with vials aligned in
S/I direction. Images were acquired in
axial plane, frequency encoding in R/L direction and diffusion direction in
A/P, with b=50,100,150,200,300,400,500,750,1000,1500s/mm2. To measure
T1 of the phantoms, FSE-IR was performed with
TR=9000ms,TI=100,200,400,800,1200,1600ms.
Data Processing and Analysis: R2 for both acetone and water were
measured from the spectroscopy data using an offline joint-fitting algorithm[3].
ADC maps were calculated from the DW-EPI
acquisitions, ADC was measured in each vial by averaging ADCs of voxels in a
single region-of-interest (ROI) in a central slice. T1 maps were generated from
FSE-IR images, followed by ROI-T1 begin generated for each vial in the same way
as ADC.
Results
Figure 1 shows
R2water and R2acetone for increasing concentrations on MnCl2, demonstrating the
rapid increase of R2water but much slower increase of R2acetone. This
differential effect of MnCl2 on water signal and acetone is highly desirable:
the high r2 relaxivity of MnCl2 in water eliminates water signal at TE values used
for diffusion MRI. Meanwhile, the modest r1 and r2 relaxivity of MnCl2 on
acetone leads to favorable shortening of T1 of acetone and minimal T2
shortening of acetone, both ideal for high SNR performance. This behavior is
confirmed in Figure 2, which shows DW images and ADC maps in several vials with
increasing MnCl2 concentration and constant water concentration (40%). This
figure demonstrates the elimination of water signal through T2 shortening as
MnCl2 concentration increases. In addition, the acetone signal increases with
increasing MnCl2, demonstrates the T1 shortening effects of MnCl2 on acetone.
Figure 3 demonstrates
that ADC of acetone can be modulated over a wide range by varying the water
concentration, independently of MnCl2 concentration.
Discussion
We have proposed
a novel diffusion MRI phantom based on acetone-water mixtures doped with MnCl
2.
We validated this phantom using both relaxometry and quantitative diffusion
measurements. By overcoming the limitations of a previously proposed acetone-D
2O
phantom, the proposed phantom may provide improved stability (ie: extended
shelf-life) and increased SNR in DW-EPI. Future work will evaluate the
long-term stability of the novel phantom. In summary, the proposed acetone-H
2O-MnCl
2
phantom may have applications in the technical development and quality
assurance of quantitative diffusion MRI.
Acknowledgements
The authors wish to acknowledge
support from the NIH (R01 DK083380), the Discovery to Product (D2P) Igniter
program, as well as GE Healthcare. References
[1] Wang et al.
ISMRM 2014 p.0159.
[2] Hamilton et al. NMR
Biomed 2011;24: 784–790.
[3] Hernando et
al. ISMRM 2014 p. 2884.