title: Estimation of affine motion from projection data using a mass conservation model.
abstract: An approximate model for the effect of respiration is that the cross section of the thoracic area under interrogation experience time-varying magnification and displacement along two perpendicular axes - we propose to model this motion as parametric affine motion. A theoretical framework for determination of parameters of affine motion modeling the global respiratory motion based on the sinogram data in the projection domain is described. It is assumed that the spatial image considered is a density image where conservation of mass holds.
authors.affiliation: Medical ImagingLab, Electrical and Computer Engineering Department, University of Louisville, KY 40292, USA. m0nega01@louisville.edu
authors.forename: Mohammadreza
authors.initials: M
authors.lastname: Negahdar
authors.forename: Amir A
authors.initials: AA
authors.lastname: Amini
mesh_terms: D000465:Algorithms; D003116:Color; D006801:Humans; D008962:Models, Theoretical; D009038:Motion; D012119:Respiration; D013909:Thorax / Q000502:physiology*