title: Hepatic tumor enhancement in computed tomography: combined models of liver perfusion and dynamic imaging.
abstract: The objective of this study is to show how computational modeling can be used to increase our understanding of liver enhancement in dynamic computer tomography. It relies on two models: (1). a vascular model, based on physiological rules, is used to generate the 3D hepatic vascular network; (2). the physical process of CT acquisition allows to synthesize timed-stamped series of images, aimed at tracking the propagation of a contrast material through the vessel network and the parenchyma. The coupled models are used to simulate the enhancement of a hyper-vascular tumor at different acquisition times, showing a maximum conspicuity during the arterial phase.
authors.affiliation: Laboratoire Traitement du Signal et de l'Image, INSERM, Bâtiment 22, Campus de Beaulieu, Université de Rennes 1, 35042 Rennes Cedex, France. johanne.bezy@univ-rennes1.fr
authors.forename: Johanne
authors.initials: J
authors.lastname: Bézy-Wendling
authors.forename: Marek
authors.initials: M
authors.lastname: Kretowski
authors.forename: Yan
authors.initials: Y
authors.lastname: Rolland
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003287:Contrast Media / Q000008:administration & dosage; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008099:Liver / Q000098:blood supply* / Q000000981:diagnostic imaging; D008113:Liver Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging*; D008954:Models, Biological; D012039:Regional Blood Flow; D014057:Tomography, X-Ray Computed / Q000379:methods
chemical_list: D003287:Contrast Media