TY - JOUR
T1 - Wavelet-based resolution recovery using an anatomical prior provides quantitative recovery for human population phantom PET [11C] raclopride data
AU - Shidahara, Miho
AU - Tsoumpas, Charalampos
AU - McGinnity, Colm J.
AU - Kato, Takashi
AU - Tamura, Hajime
AU - Hammers, Alexander
AU - Watabe, Hiroshi
AU - Turkheimer, Federico E.
PY - 2012/5/21
Y1 - 2012/5/21
N2 - The objective of this study was to evaluate a resolution recovery (RR) method using a variety of simulated human brain [11C]raclopride positron emission tomography (PET) images. Simulated datasets of 15 numerical human phantoms were processed by a wavelet-based RR method using an anatomical prior. The anatomical prior was in the form of a hybrid segmented atlas, which combined an atlas for anatomical labelling and a PET image for functional labelling of each anatomical structure. We applied RR to both 60min static and dynamic PET images. Recovery was quantified in 84 regions, comparing the typical true value for the simulation, as obtained in normal subjects, simulated and RR PET images. The radioactivity concentration in the white matter, striatum and other cortical regions was successfully recovered for the 60min static image of all 15 human phantoms; the dependence of the solution on accurate anatomical information was demonstrated by the difficulty of the technique to retrieve the subthalamic nuclei due to mismatch between the two atlases used for data simulation and recovery. Structural and functional synergy for resolution recovery (SFS-RR) improved quantification in the caudate and putamen, the main regions of interest, from30.1% and26.2% to17.6% and15.1%, respectively, for the 60min static image and from51.4% and38.3% to27.6% and20.3% for the binding potential (BPND) image, respectively. The proposed methodology proved effective in the RR of small structures from brain [11C]raclopride PET images. The improvement is consistent across the anatomical variability of a simulated population as long as accurate anatomical segmentations are provided.
AB - The objective of this study was to evaluate a resolution recovery (RR) method using a variety of simulated human brain [11C]raclopride positron emission tomography (PET) images. Simulated datasets of 15 numerical human phantoms were processed by a wavelet-based RR method using an anatomical prior. The anatomical prior was in the form of a hybrid segmented atlas, which combined an atlas for anatomical labelling and a PET image for functional labelling of each anatomical structure. We applied RR to both 60min static and dynamic PET images. Recovery was quantified in 84 regions, comparing the typical true value for the simulation, as obtained in normal subjects, simulated and RR PET images. The radioactivity concentration in the white matter, striatum and other cortical regions was successfully recovered for the 60min static image of all 15 human phantoms; the dependence of the solution on accurate anatomical information was demonstrated by the difficulty of the technique to retrieve the subthalamic nuclei due to mismatch between the two atlases used for data simulation and recovery. Structural and functional synergy for resolution recovery (SFS-RR) improved quantification in the caudate and putamen, the main regions of interest, from30.1% and26.2% to17.6% and15.1%, respectively, for the 60min static image and from51.4% and38.3% to27.6% and20.3% for the binding potential (BPND) image, respectively. The proposed methodology proved effective in the RR of small structures from brain [11C]raclopride PET images. The improvement is consistent across the anatomical variability of a simulated population as long as accurate anatomical segmentations are provided.
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U2 - 10.1088/0031-9155/57/10/3107
DO - 10.1088/0031-9155/57/10/3107
M3 - Article
C2 - 22547469
AN - SCOPUS:84860681754
VL - 57
SP - 3107
EP - 3122
JO - Physics in Medicine and Biology
JF - Physics in Medicine and Biology
SN - 0031-9155
IS - 10
ER -