Abstract #2652
Initial Performance of the Diffusive Quantitative Imaging Phantom (DQIP): Thermal and SNR Characteristics Using a Clinical Protocol
Marc Buzzelli 1 , XiaoTian Li 2 , William Randazzo 1 , and Nathan Yanasak 1
1
Department of Radiology and Imaging, Medical
College of Georgia, Georgia Regents University, Augusta,
Georgia, United States,
2
Medical
College of Georgia, Georgia Regents University, Augusta,
Georgia, United States
Problem To characterize and apply thermal and
signal-to-noise corrections to DTI images of a
specialized quality assurance phantom via regression, to
facilitate future investigation of systematic biases in
clinical protocols. Methods A phantom was constructed
for diffusion imaging. Scans were obtained utilizing a
3T magnet, monitoring the temperature of the phantom
during the scans. FA and ADC maps were calculated.
Dependencies in temperature and SNR were determined, to
examine baseline systematic variability after
regression. Results/Conclusion FA and ADC show linear
dependence on temperature and an inverse dependence on
SNR. Intrinsic dependences of FA on SNR are significant
after regression.
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