title: System Matrix Analysis for Computed Tomography Imaging.
abstract: In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process. On the other hand, the high radiation dose imposed on patients is also undesired. These issues demand that high quality CT images can be reconstructed from limited projection data. For this reason, iterative methods of image reconstruction have become a topic of increased research interest. Several algorithms have been proposed for few-view CT. We consider that the accurate solution of the reconstruction problem also depends on the system matrix that simulates the scanning process. In this work, we analyze the application of the Siddon method to generate elements of the matrix and we present results based on real projection data.
authors.affiliation: Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Valencia, Spain.
authors.forename: Liubov
authors.initials: L
authors.lastname: Flores
authors.affiliation: Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, Valencia, Spain.
authors.forename: Vicent
authors.initials: V
authors.lastname: Vidal
authors.affiliation: Departamento de Ingeniería Química y Nuclear, Universitat Politècnica de València, Valencia, Spain.
authors.forename: Gumersindo
authors.initials: G
authors.lastname: Verdú
mesh_terms: D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D014057:Tomography, X-Ray Computed