Assessement of rheumatic diseases with computational radiology: current status and future potential.
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.
Peloschek
Philipp
P
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
Boesen
Mikael
M
Donner
Rene
R
Kubassova
Olga
O
Birngruber
Erich
E
Patsch
Janina
J
Mayerhöfer
Marius
M
Langs
Georg
G
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