title: Contour based respiratory motion analysis for free breathing CT.
abstract: We propose a method to quantify superior-inferior (SI) motion of a rigid target using the 3D contour from free-breathing CT (FBCT). The technique utilizes similarity between 2D contours (Jaccard Index) and a population based density function for probability of motion amplitude, and is applicable both when the static target shape is and is not known beforehand. Simulations and phantom measurements showed that motion reconstruction is often feasible, with decreasing accuracy as discrepancy is introduced between assumed and actual static shape. When no static shape is used the analysis is most robust for slow scanning speeds relative to the motion period.
authors.affiliation: Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA. justus.adamson@duke.edu
authors.forename: Justus
authors.initials: J
authors.lastname: Adamson
authors.forename: Tingliang
authors.initials: T
authors.lastname: Zhuang
authors.forename: Fang-Fang
authors.initials: FF
authors.lastname: Yin
mesh_terms: D016477:Artifacts; D003198:Computer Simulation; D056973:Four-Dimensional Computed Tomography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007668:Kidney / Q000000981:diagnostic imaging; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D019047:Phantoms, Imaging; D015656:Respiratory Mechanics / Q000502:physiology*