Speaker
Inés Mérida
(CERMEP-Imagerie du vivant, Lyon, France)
Description
The correction of head motion of dynamic PET in the context of PET-MR imaging can benefit from estimation either based on PET data, or on MRI data, when both modalities have been simultaneously acquired. Based on a recent method developed for a direct correction of PET list-mode data during the rebinning of PET dynamics into sinograms, this paper reports the study of the relation between modality, frame duration, smoothing strength and motion parameter accuracy in the recovery of the motion.
Primary author
Inés Mérida
(CERMEP-Imagerie du vivant, Lyon, France)
Co-authors
Prof.
Alexander Hammers
(King's College London & Guy's and St Thomas' PET Centre, Division of Imaging Sciences and Biomedical Engineering, Kings' College London, UK)
Dr
Anthonin Reilhac-Laborde
(CIRC, NUS-ASTAR, Singapore)
Mrs
Clara Fonteneau
(Centre de Recherche en Neurosciences de Lyon, Equipe PSYR2 (INSERM U1028, CNRS UMR5292, UCBL, Université de Lyon), Lyon, France, and Centre Hospitalier Le Vinatier, Lyon, France)
Mr
Jean Marcelle Aboumon
(CERMEP-Imagerie du vivant, Lyon, France)
Dr
Jérôme Redouté
(CERMEP-Imagerie du vivant, Lyon, France)
Dr
Marie-Francoise Suaud-Chagny
(Centre de Recherche en Neurosciences de Lyon, Equipe PSYR2 (INSERM U1028, CNRS UMR5292, UCBL, Université de Lyon), Lyon, France, and Centre Hospitalier Le Vinatier, Lyon, France)
Dr
Nicolas costes
(CERMEP-Imagerie du vivant, Lyon, France)
