TY - GEN
T1 - Imaging D2-dopamine receptor concentration in non-human primate brain using 18F-fallypride
AU - Kamasak, Mustafa E.
AU - Bouman, Charles A.
AU - Christian, Bradley T.
AU - Morris, Evan D.
PY - 2007
Y1 - 2007
N2 - In this paper, we demonstrate how to form images of D2-dopamine receptor concentration in the brain with positron emission tomography (PET). Quantification of receptor sites within the brain is required to understand aging, diseases such as Alzheimer, and drug addiction. This quantification is performed by acquiring dynamic PET data and analyzing the tracer kinetics from the reconstructed emission data. The signal-to-noise ratio (SNR) of the reconstructed dynamic PET data is generally so low that region of interest (ROI) analysis is required to have accurate quantification. ROI analysis produces a single value of receptor concentration for each region in the brain. We recently show that it is possible to form parametric images directly from the acquired sinogram data [1]. Elimination of intermediate steps and direct reconstruction of parameters from sinograms allowed us to form dense images of parameters of interest. In this paper, we applied the direct parametric reconstruction algorithm to form images of D2-dopamine receptor concentration within monkey brain using 18F-fallypride radiotracer. Our initial investigations show that our D2 receptor images are consistent with the results of the classical ROI analysis.
AB - In this paper, we demonstrate how to form images of D2-dopamine receptor concentration in the brain with positron emission tomography (PET). Quantification of receptor sites within the brain is required to understand aging, diseases such as Alzheimer, and drug addiction. This quantification is performed by acquiring dynamic PET data and analyzing the tracer kinetics from the reconstructed emission data. The signal-to-noise ratio (SNR) of the reconstructed dynamic PET data is generally so low that region of interest (ROI) analysis is required to have accurate quantification. ROI analysis produces a single value of receptor concentration for each region in the brain. We recently show that it is possible to form parametric images directly from the acquired sinogram data [1]. Elimination of intermediate steps and direct reconstruction of parameters from sinograms allowed us to form dense images of parameters of interest. In this paper, we applied the direct parametric reconstruction algorithm to form images of D2-dopamine receptor concentration within monkey brain using 18F-fallypride radiotracer. Our initial investigations show that our D2 receptor images are consistent with the results of the classical ROI analysis.
UR - http://www.scopus.com/inward/record.url?scp=84863731381&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84863731381
SN - 9788392134022
T3 - European Signal Processing Conference
SP - 2259
EP - 2262
BT - 15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
T2 - 15th European Signal Processing Conference, EUSIPCO 2007
Y2 - 3 September 2007 through 7 September 2007
ER -