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Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.
Spatial-temporal pharmacokinetic model based registration of 4D brain PET data.
Neuroimage 84, 225-235 (2012)
In dynamic positron emission tomography (PET), where scan durations often exceed 1 hour, registration of motion-corrupted dynamic PET images is necessary in order to maintain the integrity of the physiological/pharmacological/ biochemical information derived from the tracer kinetic analysis of the scan. A pharmacokinetic model, which is traditionally used to analyse PET data following any registration, was incorporated into the registration process itself in order to allow for a groupwise registration of the temporal time frames. The new method achieved smaller registration errors and improved kinetic parameter estimates on validation data sets as compared with the traditional image based similarity registration approach. When applied to measured clinical data from 10 healthy subjects scanned with [ 11C]-(+)-PHNO (a dopamine D3/D2 receptor tracer), it reduced the intra-class variability on the tracer kinetics, suggesting a successful registration. Our new method which incorporates a generic tracer kinetic model could be applied widely to dynamic PET data as part of an automated tool to remove motion artefacts and increase the integrity and statistical power of these data.
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Publication type
Article: Journal article
Document type
Scientific Article
ISSN (print) / ISBN
1053-8119
e-ISSN
1095-9572
Quellenangaben
Volume: 84,
Pages: 225-235
Publisher
Elsevier
Reviewing status
Peer reviewed
Institute(s)
Institute for Machine Learning in Biomed Imaging (IML)