title: Attenuation correction for the large non-human primate brain imaging using microPET.
abstract: Assessment of the biodistribution and pharmacokinetics of radiopharmaceuticals in vivo is often performed on animal models of human disease prior to their use in humans. The baboon brain is physiologically and neuro-anatomically similar to the human brain and is therefore a suitable model for evaluating novel CNS radioligands. We previously demonstrated the feasibility of performing baboon brain imaging on a dedicated small animal PET scanner provided that the data are accurately corrected for degrading physical effects such as photon attenuation in the body. In this study, we investigated factors affecting the accuracy and reliability of alternative attenuation correction strategies when imaging the brain of a large non-human primate (papio hamadryas) using the microPET Focus 220 animal scanner. For measured attenuation correction, the best bias versus noise performance was achieved using a (57)Co transmission point source with a 4% energy window. The optimal energy window for a (68)Ge transmission source operating in singles acquisition mode was 20%, independent of the source strength, providing bias-noise performance almost as good as for (57)Co. For both transmission sources, doubling the acquisition time had minimal impact on the bias-noise trade-off for corrected emission images, despite observable improvements in reconstructed attenuation values. In a [(18)F]FDG brain scan of a female baboon, both measured attenuation correction strategies achieved good results and similar SNR, while segmented attenuation correction (based on uncorrected emission images) resulted in appreciable regional bias in deep grey matter structures and the skull. We conclude that measured attenuation correction using a single pass (57)Co (4% energy window) or (68)Ge (20% window) transmission scan achieves an excellent trade-off between bias and propagation of noise when imaging the large non-human primate brain with a microPET scanner.
authors.affiliation: Discipline of Medical Radiation Sciences, Faculty of Health Sciences, University of Sydney, PO Box 170, Lidcombe, NSW 1825, Sydney, Australia. snai3212@uni.sydney.edu.au
authors.forename: S
authors.initials: S
authors.lastname: Naidoo-Variawa
authors.forename: W
authors.initials: W
authors.lastname: Lehnert
authors.forename: M
authors.initials: M
authors.lastname: Kassiou
authors.forename: R
authors.initials: R
authors.lastname: Banati
authors.forename: S R
authors.initials: SR
authors.lastname: Meikle
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001921:Brain / Q000000981:diagnostic imaging*; D005260:Female; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007554:Isotopes; D010215:Papio; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000379:methods*; D013997:Time Factors
chemical_list: D007554:Isotopes; D019788:Fluorodeoxyglucose F18