Abstract #0508
Improved FDG kinetic Analysis in Brain Tumors Through Simultaneous MR/PET Acquisition
Anne-Kristin Vahle 1,2 , Harikrishna Rallapalli 1,2 , Artem Mikheev 1,2 , Thomas Koesters 1,2 , Kai Tobias Block 1,2 , Jean Logan 1,2 , Timothy Shepherd 1,2 , Girish Fatterpekar 1,2 , David Faul 3 , and Fernando Emilio Boada 1,2
1
Center for Advanced Imaging Innovation and
Research, Dept. of Radiology, New York University School
of Medicine, New York, NY, United States,
2
Center
for Biomedical Imaging, Dept. of Radiology, New York
University School of Medicine, New York, NY, United
States,
3
Siemens
Healthcare, New York, NY, United States
The goal of the study was to investigate the use of
high-resolution, MR-derived arterial input functions (AIFs)
for improving the estimation of tracer kinetic
parameters on human brain tumors during dynamic FDG
injection without direct arterial sampling. Dynamic PET
and MR data was acquired simultaneously during FDG
injection. Tracer kinetic parameters were calculated
using PET-derived AIFs only or MR-derived AIFs. Bias
could be reduced and discrimination between white and
grey matter parameters improved when involving MR-derived
AIFs for tracer kinetic modeling. Our results suggest
that concurrent dynamic MR/PET acquisition could provide
more accurate tracer kinetic parameter estimation.
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