%0 Journal Article
%T Comparison of manual and semi-automated delineation of regions of interest for radioligand PET imaging analysis
%A Tiffany W Chow
%A Shinichiro Takeshita
%A Kie Honjo
%A Christina E Pataky
%A Peggy L St Jacques
%A Maggie L Kusano
%A Curtis B Caldwell
%A Joel Ramirez
%A Sandra Black
%A Nicolaas PLG Verhoeff
%J BMC Medical Physics
%D 2007
%I BioMed Central
%R 10.1186/1471-2385-7-2
%X We compared 2 sets of partial volume corrected serotonin 1a receptor binding potentials (BPs) resulting from manual vs. semi-automated methods. BPs were obtained from subjects meeting consensus criteria for frontotemporal degeneration and from age- and gender-matched healthy controls. Two trained raters provided each set of data to conduct comparisons of inter-rater mean image processing time, rank order of BPs for 9 PET scans, intra- and inter-rater intraclass correlation coefficients (ICC), repeatability coefficients (RC), percentages of the average parameter value (RM%), and effect sizes of either method.SABRE saved approximately 3 hours of processing time per PET subject over manual delineation (p < .001). Quality of the SABRE BP results was preserved relative to the rank order of subjects by manual methods. Intra- and inter-rater ICC were high (>0.8) for both methods. RC and RM% were lower for the manual method across all ROIs, indicating less intra-rater variance across PET subjects' BPs.SABRE demonstrated significant time savings and no significant difference in reproducibility over manual methods, justifying the use of SABRE in serotonin 1a receptor radioligand PET imaging analysis. This implies that semi-automated ROI delineation is a valid methodology for future PET imaging analysis.Advances in functional neuroimaging techniques have allowed the correlation of regions of interest (ROIs) with behavioral and cognitive tasks. Manual delineation of ROIs by trained operators is still considered the "gold standard," given its precision for the targets; however some drawbacks of manual analysis have recently been pointed out, such as its labor-intensive requirements (i.e., extensive time needed for ROI drawing) [1], limited reproducibility [2], and difficulties in measuring cortical ROIs [3]. In order to resolve these problems, some researchers have suggested other methods of analysis as represented by an automated program to label brain regions [4], automated ev
%U http://www.biomedcentral.com/1471-2385/7/2