title: Accurate event-driven motion compensation in high-resolution PET incorporating scattered and random events.
abstract: With continuing improvements in spatial resolution of positron emission tomography (PET) scanners, small patient movements during PET imaging become a significant source of resolution degradation. This work develops and investigates a comprehensive formalism for accurate motion-compensated reconstruction which at the same time is very feasible in the context of high-resolution PET. In particular, this paper proposes an effective method to incorporate presence of scattered and random coincidences in the context of motion (which is similarly applicable to various other motion correction schemes). The overall reconstruction framework takes into consideration missing projection data which are not detected due to motion, and additionally, incorporates information from all detected events, including those which fall outside the field-of-view following motion correction. The proposed approach has been extensively validated using phantom experiments as well as realistic simulations of a new mathematical brain phantom developed in this work, and the results for a dynamic patient study are also presented.
authors.affiliation: Department of Radiology, Johns Hopkins University, 601 N. Caroline Street, Baltimore, MD 21205, USA. arahmim1@jhmi.edu
authors.forename: Arman
authors.initials: A
authors.lastname: Rahmim
authors.forename: Katie
authors.initials: K
authors.lastname: Dinelle
authors.forename: Ju-Chieh
authors.initials: JC
authors.lastname: Cheng
authors.forename: Mikhail A
authors.initials: MA
authors.lastname: Shilov
authors.forename: William P
authors.initials: WP
authors.lastname: Segars
authors.forename: Sarah C
authors.initials: SC
authors.lastname: Lidstone
authors.forename: Stephan
authors.initials: S
authors.lastname: Blinder
authors.forename: Olivier G
authors.initials: OG
authors.lastname: Rousset
authors.forename: Hamid
authors.initials: H
authors.lastname: Vajihollahi
authors.forename: Benjamin M W
authors.initials: BM
authors.lastname: Tsui
authors.forename: Dean F
authors.initials: DF
authors.lastname: Wong
authors.forename: Vesna
authors.initials: V
authors.lastname: Sossi
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000000981:diagnostic imaging*; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000295:instrumentation / Q000379:methods*; D015203:Reproducibility of Results; D012542:Scattering, Radiation; D012680:Sensitivity and Specificity