Houshang Amiri1, Iman Brouwer1, Joost P.A. Kuijer1, Jan C. de Munck1, Frederik Barkhof1,2, and Hugo Vrenken1
1Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands, 2Institutes of Neurology and Healthcare Engineering, UCL, London, United Kingdom
Synopsis
MR images are widely used
to measure brain atrophy in neurodegenerative diseases. However, reliable
evaluation of atrophy is hampered by scanner-induced systematic variability. Here,
we developed an MR-compatible phantom and analysis software for robust
and reliable evaluation of the brain volume loss. The phantom was made using
3D-printing and contains three inflatable brain structures equipped with a
precise volume change system. The phantom was imaged at three different
clinical 3T MR scanners and images were analyzed by our developed software. This phantom can accurately and robustly provide a selected
volume change to mimic a certain disease.
INTRODUCTION
Brain volume loss (atrophy) has been proven to be an
important characteristic of neurological diseases such as Alzheimer’s disease (AD).
However, scanner-induced systematic differences in atrophy measures have been
reported using different methods 1-4. Therefore, to increase statistical power in clinical trials
and to establish atrophy measures as reliable clinical biomarkers, such
scanner-induced effects should be minimized. In this study we
developed and performed initial validation tests of an MR-compatible phantom
and analysis software for robust and reliable evaluation of the brain volume
loss.METHODS
The
MRI phantom contains inflatable structures equipped with a precise volume
change system (FIG. 1). The phantom contains three brain structures: a cerebral
hemisphere, putamen, and caudate nucleus. The hemisphere model was created by
scanning a post-mortem healthy brain using a surface 3D scanner (Artec Spider,
Arc 3D). The models of putamen and caudate nucleus were generated from MR images
of healthy control subjects using FSL-FIRST. Using these models, molds of all
three structures were 3D-printed using ZP151 powder (3D systems). Then, the
molds were repeatedly dipped into pre-vulcanized latex rubber (pvs-elastica,
FromX), to reach a homogenize thickness. Finally, the molds were dissolved in
water and phantoms remained. Syringes (Hamilton®, Switzerland) of 100mL and 100µL
were incorporated with a custom-made stainless steel plunger with a finely
bored syringe barrel to change the volume in the hemisphere and the small
structures, respectively. To validate the method, the phantom was imaged at
three different clinical 3T MR scanners (GE, Toshiba and Philips) using a
standard clinical 3D gradient echo sequence available at each scanner with
voxel volumes 1-1.2 µL (FIG. 2). In each scanning session, 5 volume changes
were applied as indicated in FIG. 3a, ranging between about 1-5% of the baseline
volume. Next, we developed software to measure volume change from MR images,
using existing methods and pipelines (FIG. 4). Then, the measured volume change
was compared with the known (applied) volume change using intra-class
correlation coefficient (ICC, absolute agreement) and mean absolute difference
(MAD). SPSS version 22 (IBM) was used.RESULTS
FIG.
2 shows example phantom MR images. The volume change calculated by our software
versus the applied volume change is presented in FIG. 5. ICC ranged from 0.999-1
for hemisphere, 0.976-0.998 for putamen, and 0.985-0.999 for caudate nucleus (FIG.
3b). The MAD were 109-332µL for hemisphere, 2.9-11.9µL
for putamen, and 2.2-10.1µL for caudate nucleus (FIG. 3b).DISCUSSION and CONCLUSIONS
Although other anthropomorphic brain phantoms
have been described 5-7, to
our knowledge this is the first structural MR-compatible phantom aiming to
standardize volume change measurements within and between scanners. Our device
can accurately and robustly provide a selected volume change to mimic e.g. the change typically observed in a
certain disease. The developed software can measure the volume changes from the
images with high precision. Next
step is to validate this in patient studies, targeting a method to standardize
volume change measurements obtained on different scanners.Acknowledgements
We would like to thank kind technical supports by the 3D Innovation Lab at the VU University Medical Center, specially D. Koops, F. Verver and S. te Slaa. References
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