title: Grid based evaluation of a liver segmentation method for contrast enhanced abdominal MRI.
abstract: Recent developments in MRI contrast agents give new perspectives in radiological diagnosis and therapy planning, but require specific image analysis methods. By employment of an academic research grid, we are currently validating and optimizing a recently developed fully automatic method for liver segmentation in Gd-EOB enhanced MRI. The grid enables extensive parameter scans and evaluation against expert's reference segmentation. The implementation layout and so far reached results are presented. Furthermore, experiences made in the production phase and consequences resulting for the exploitation of publicly funded research grids for Healthgrid applications are given.
authors.affiliation: Charité - Universitätsmedizin Berlin, Institute of Medical Informatics, Germany.
authors.forename: Svenja
authors.initials: S
authors.lastname: Specovius
authors.forename: René
authors.initials: R
authors.lastname: Siewert
authors.forename: Juliane
authors.initials: J
authors.lastname: Doege
authors.forename: Dirk
authors.initials: D
authors.lastname: Schnapauff
authors.forename: Timm
authors.initials: T
authors.lastname: Denecke
authors.forename: Dagmar
authors.initials: D
authors.lastname: Krefting
mesh_terms: D000005:Abdomen; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D008107:Liver Diseases / Q000175:diagnosis*; D008279:Magnetic Resonance Imaging / Q000379:methods