title: Assessement of rheumatic diseases with computational radiology: current status and future potential.
abstract: In recent years, several computational image analysis methods to assess disease progression in rheumatic diseases were presented. This review article explains the basics of these methods as well as their potential application in rheumatic disease monitoring, it covers radiography, sonography as well as magnetic resonance imaging in quantitative analysis frameworks.
authors.affiliation: Computational Imaging and Radiology Lab-CIR, Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria. philipp.peloschek@meduniwien.ac.at
authors.forename: Philipp
authors.initials: P
authors.lastname: Peloschek
authors.forename: Mikael
authors.initials: M
authors.lastname: Boesen
authors.forename: Rene
authors.initials: R
authors.lastname: Donner
authors.forename: Olga
authors.initials: O
authors.lastname: Kubassova
authors.forename: Erich
authors.initials: E
authors.lastname: Birngruber
authors.forename: Janina
authors.initials: J
authors.lastname: Patsch
authors.forename: Marius
authors.initials: M
authors.lastname: Mayerhöfer
authors.forename: Georg
authors.initials: G
authors.lastname: Langs
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012216:Rheumatic Diseases / Q000175:diagnosis*; D012680:Sensitivity and Specificity