Optimisation of PET data processing for a single injection experiment with [11C]Raclopride using a simulations based approach

Simple item page
dc.contributor.authorWimberley, CAen_AU
dc.contributor.authorAngelis, GIen_AU
dc.contributor.authorBoisson, Fen_AU
dc.contributor.authorCallaghan, PDen_AU
dc.contributor.authorFischer, Ken_AU
dc.contributor.authorPichler, BJen_AU
dc.contributor.authorMeikle, SRen_AU
dc.contributor.authorGrégoire, MCen_AU
dc.contributor.authorReilhac, Aen_AU
dc.date.accessioned2023-12-01T02:57:14Zen_AU
dc.date.available2023-12-01T02:57:14Zen_AU
dc.date.issued2014-11-05en_AU
dc.date.statistics2022-09-26en_AU
dc.description.abstractObjectives Positron emission tomography (PET) with [11C]Raclopride is an important tool for studying dopamine D2 receptor expression in vivo. [11C]Raclopride PET binding experiments conducted using the Partial Saturation Approach (PSA) (a simple, single injection experiment, Delforge 1995) allow the estimation of receptor density (Bavail) and the in vivo affinity 1/(KD). To achieve accurate and stable parameter estimates, and the ability to detect small changes in these parameters, the impact of the data processing chain should be investigated and optimised. Methods Two groups of PET scans were generated for a Partial Saturation Approach (PSA) experiment using Monte Carlo simulation software with a biological phenomenon inferred between the groups. The kinetic parameters Bavail and KD were estimated and the impact of spatial smoothing, temporal denoising and image resolution recovery on the statistical detectability of change in the estimates was investigated. Results Before optimisation, the inferred Bavail difference between the two groups was underestimated by 42% and detected in 66% of cases (at p<0.05), while a false decrease of KD by 13% was detected in more than 11% of cases. After optimisation, the calculated Bavail difference was underestimated by only 3.7% and detected in 89% of cases, while a false slight increase of KD by 3.7 % was detected in only 2% of cases. Conclusions The use of Monte Carlo generated PET scans allowed the optimisation of the data processing chain in order to reliably estimate and detect changes in the parameters Bavail and KD.en_AU
dc.identifier.citationWimberley, C., Angelis, G., Boisson, F., Callaghan, P., Fischer, K., Pichler, B., Meikle, S., Gregoire, M. C., & Reilhac, A. (2014). Optimisation of PET data processing for a single injection experiment with [11C]Raclopride using a simulations based approach. Journal of Nuclear Medicine, 55 (Supplement 1), 2019. https://jnm.snmjournals.org/content/55/supplement_1/2019/tab-article-infoen_AU
dc.identifier.issn2159-662Xen_AU
dc.identifier.issueSupplement 1en_AU
dc.identifier.journaltitleJournal of Nuclear Medicineen_AU
dc.identifier.urihttps://jnm.snmjournals.org/content/55/supplement_1/2019/tab-article-infoen_AU
dc.identifier.urihttps://apo.ansto.gov.au/handle/10238/15259en_AU
dc.identifier.volume55en_AU
dc.language.isoenen_AU
dc.publisherSociety of Nuclear Medicineen_AU
dc.relation.urihttps://jnm.snmjournals.org/content/55/supplement_1/2019/tab-article-infoen_AU
dc.subjectPositron computed tomographyen_AU
dc.subjectData processingen_AU
dc.subjectInjectionen_AU
dc.subjectSimulationen_AU
dc.subjectDopamineen_AU
dc.subjectReceptorsen_AU
dc.subjectMonte Carlo Methoden_AU
dc.titleOptimisation of PET data processing for a single injection experiment with [11C]Raclopride using a simulations based approachen_AU
dc.typeJournal Articleen_AU
Files
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles