Paper Info
Title
Spatio-temporal pharmacokinetic model based registration of 4D PET neuroimaging data.
Abstract
In dynamic positron emission tomography (PET) neuroimaging studies, where scan durations often exceed 1h, registration of motion-corrupted dynamic PET images is necessary in order to maintain the integrity of the physiological, pharmacological, or biochemical information derived from the tracer kinetic analysis of the scan. In this work, we incorporate a pharmacokinetic model, which is traditionally used to analyse PET data following any registration, into the registration process itself in order to allow for a groupwise registration of the temporal time frames. The new method is shown to achieve smaller registration errors and improved kinetic parameter estimates on validation data sets when compared with image similarity based registration approaches. When applied to measured clinical data from 10 healthy subjects scanned with [11C]-(+)-PHNO (a dopamine D3/D2 receptor tracer), it reduces the intra-class variability on the receptor binding outcome measure, further supporting the improvements in registration accuracy. Our method incorporates a generic tracer kinetic model which makes it applicable to different PET radiotracers to remove motion artefacts and increase the integrity of dynamic PET studies.
Year
DOI
Venue
2014
10.1016/j.neuroimage.2013.08.031
NeuroImage
Keywords
Field
DocType
PET,Motion correction,Spatio-temporal registration,Pharmacokinetic modelling,Neuroreceptor imaging
Data set,Kinetic analysis,Pattern recognition,Simulation,Computer science,Cognitive psychology,Kinetic model,Positron emission tomography,Artificial intelligence,Neuroimaging,Motion correction
Journal
Volume
ISSN
Citations 
84
1053-8119
4
PageRank 
References 
Authors
0.46
9
6
Name
Order
Citations
PageRank
Jieqing Jiao1123.24
Graham E. Searle2254.53
Andri C. Tziortzi3122.52
Cristian A. Salinas471.59
Roger N. Gunn57417.33
Julia A Schnabel61978151.49