title: Motion correction of multi-frame PET data in neuroreceptor mapping: simulation based validation.
abstract: Patient motion during positron emission tomography scanning can affect the accuracy of the data analysis in two ways: 1) movement occurring during emission data acquisition alters the time activity curves (TACs), measured at a voxel or region of interest (ROI), and hence introduces errors in the parameter estimates derived from kinetic modeling; 2) emission-transmission mismatches introduce errors during attenuation and scatter correction, and hence in the radioactivity distribution estimates for each time frame of the scan. With the aim of designing an algorithm-based frame realignment method, we first conducted investigations that aimed at optimizing the parameters of a coregistration method, such as the choice of the target volume and the similarity criterion. Based on these results we designed a novel frame realignment strategy in a multi-step algorithm using uncorrected reconstructed images, cross-correlation similarity criteria for the determination of inter-frame motion parameters and emission-transmission mismatch for each frame. Features and validation results are reported here based on a multi-subject simulated [(11)C]raclopride dynamic PET scan database incorporating intra-frame movements of various magnitudes and with various times of occurrence. Performances of the proposed algorithm were evaluated at regional and voxel-based level for binding potential parametric images.
authors.affiliation: CERMEP-imagerie du vivant, Lyon, France. costes@cermep.fr
authors.forename: Nicolas
authors.initials: N
authors.lastname: Costes
authors.forename: Alain
authors.initials: A
authors.lastname: Dagher
authors.forename: Kevin
authors.initials: K
authors.lastname: Larcher
authors.forename: Alan C
authors.initials: AC
authors.lastname: Evans
authors.forename: D Louis
authors.initials: DL
authors.lastname: Collins
authors.forename: Anthonin
authors.initials: A
authors.lastname: Reilhac
mesh_terms: D016477:Artifacts; D001921:Brain / Q000000981:diagnostic imaging / Q000378:metabolism*; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008959:Models, Neurological; D009038:Motion; D049268:Positron-Emission Tomography / Q000379:methods*; D020891:Raclopride / Q000493:pharmacokinetics*; D019275:Radiopharmaceuticals / Q000493:pharmacokinetics; D017448:Receptors, Dopamine D2 / Q000378:metabolism*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D011984:Sensory Receptor Cells / Q000378:metabolism; D013382:Subtraction Technique
chemical_list: D019275:Radiopharmaceuticals; D017448:Receptors, Dopamine D2; D020891:Raclopride