Timothy W. Deller1, Nicholas Mathew2, Samuel Hurley2, Chad Bobb1, and Alan McMillan2
1GE Healthcare, Waukesha, WI, United States, 2University of Wisconsin-Madison, Madison, WI, United States
Synopsis
Floating surface coils,
such as the anterior array coil, are ignored in PET attenuation correction for
PET/MR because their position is difficult to determine. This leads to
quantitative bias in reconstructed PET images. This study investigates the
potential to improve quantitative accuracy in PET when using a new lightweight
"AIR Technology" anterior array coil, as compared to the traditional
anterior array coil. Metrics of quantification accuracy and error variation
were explored with a phantom and clinical study.
Introduction
Simultaneous PET/MR
presents a series of challenges for quantitatively accurate and consistent PET
imaging. One such challenge is the presence of floating MR surface coils for
body imaging, most notably a (semi-)flexible anterior array (AA) coil. Because
the position of the coil on the patient is difficult to determine, AA coils are
often excluded from attenuation correction processing for PET imaging, leading
to unknown quantitative bias. Recently, a light-weight coil technology has been
developed called AIR Coil Technology. These coils are reduced in weight by
approximately 60%, which translates to less photon attenuation and is expected
to reduce the impact of the RF coil on the PET image data. The purpose of this
study is to evaluate the potential PET image quality improvements when using
the AIR AA coil as compared to the traditional AA coil.Methods
Phantom
study: A Ge-68 phantom was scanned on a PET/CT system (Discovery MI, GE
Healthcare) with multiple coil configurations: (a) no AA; (b) traditional AA;
(c) AIR AA. For each configuration, AC was performed without the AA, mimicking
the processing on a clinical PET/MR scan. Images were reconstructed with and
without time-of- flight (TOF) PET reconstruction. For each slice, 25 ROIs with
25 mm diameter were placed throughout the slice. The mean of the ROIs was used
for quantitative analysis, and the coefficient of variation (CV) of the ROI
values was used for homogeneity analysis.
Injected volunteer study: Following an F-18-FDG
PET/CT clinical scan, 2-min PET frames were acquired in the same position over
the liver without moving the patient. Four scenarios were scanned on PET/CT:
(a) no coil; (b) AIR AA; (c) no coil (repeated); (d) traditional AA. The
original CT scan (without the AA coils being present) was used for AC for all
reconstructions, mimicking the scenario of simultaneous PET/MR scan. TOF PET reconstruction
was performed. A large spherical VOI was placed identically near the center of
the liver for each reconstructed volume. The VOI “gold standard” for each coil
configuration was calculated, using a line-fit (in time) of the no-coil VOI
means as the ground truth (to account for potential biological change).Results
Phantom study: The
traditional AA showed mean quantitation error of -9.0% & -8.6% (TOF &
non-TOF, reported in this manner for all measurements), reduced with the AIR AA
to -4.3% & -4.0%. The coefficient of variation with no coil was 2.0% &
1.5%; with the traditional AA the CV was 4.3% & 6.2%; with the AIR AA the
CV was improved to 2.1% and 2.7%.
Volunteer study: The liver VOI demonstrated an error of -9.9% & -9.0% with
use of the traditional AA; with the AIR AA error was reduced to -3.6% &
-3.6%. Conclusion
Phantom and volunteer
studies demonstrated that AIR Technology coils reduce mean quantitative bias by
over 50%. Additionally, the spatial variation of the error was reduced, which
would improve reliability of quantitative analysis for longitudinal studies.
The phantom studies demonstrated similar mean quantitation error between TOF
and non-TOF reconstruction, but the TOF reconstructions demonstrated superior
homogeneity as compared to non-TOF when coils were omitted from the AC map. Given
that contemporary MR-based attenuation correction (MRAC) algorithms have
demonstrated bias in most tissue regions on the order of 10% of less, it is
important to consider how other factors such as RF coils effect quantitative
results in PET, as coil-related bias can be as large as those due to MRAC. With
the use of lightweight AA coils using AIR Coil Technology or similar
technologies, quantitative bias can be greatly reduced, improving quantitative
PET results while balancing patient comfort and imaging capability.Acknowledgements
The authors acknowledge support from the NIH (R01-EB026708).References
[1]
Wollenweber SD, et al. “Characterization of
the impact to PET quantification and image quality of an anterior array surface
coil for PET/MR imaging.” MAGMA.
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McGee KP, et al. “Characterization
and evaluation of a flexible MRI receive coil array for radiation therapy MR
treatment planning using highly decoupled RF circuits.” Phys
Med Biol.
2018;63:08NT02.