title: Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT.
abstract: This work is an extension of our recent work on joint activity reconstruction/motion estimation (JRM) from positron emission tomography (PET) data. We performed JRM by maximization of the penalized log-likelihood in which the probabilistic model assumes that the same motion field affects both the activity distribution and the attenuation map. Our previous results showed that JRM can successfully reconstruct the activity distribution when the attenuation map is misaligned with the PET data, but converges slowly due to the significant cross-talk in the likelihood. In this paper, we utilize time-of-flight PET for JRM and demonstrate that the convergence speed is significantly improved compared to JRM with conventional PET data.
authors.affiliation: Institute of Nuclear Medicine, University College London, London NW1 2BU, UK.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Bousse
authors.forename: Ottavia
authors.initials: O
authors.lastname: Bertolli
authors.forename: David
authors.initials: D
authors.lastname: Atkinson
authors.forename: Simon
authors.initials: S
authors.lastname: Arridge
authors.forename: Sébastien
authors.initials: S
authors.lastname: Ourselin
authors.forename: Brian F
authors.initials: BF
authors.lastname: Hutton
authors.forename: Kris
authors.initials: K
authors.lastname: Thielemans
mesh_terms: D000465:Algorithms; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009038:Motion; D064847:Multimodal Imaging / Q000379:methods*; D049268:Positron-Emission Tomography / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*