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, sonograph...

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Veröffentlicht in:	European journal of radiology 2009-08, Vol.71 (2), p.211-216
Hauptverfasser:	Peloschek, Philipp, Boesen, Mikael, Donner, Rene, Kubassova, Olga, Birngruber, Erich, Patsch, Janina, Mayerhöfer, Marius, Langs, Georg
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Ankylosing spondylitis Artificial Intelligence Computed tomography Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Joint space measurement Larsen-score Magnetic resonance imaging Osteoarthritis Pattern Recognition, Automated - methods Radiography Radiology Reproducibility of Results Rheumatic Diseases - diagnosis Rheumatoid arthritis Sensitivity and Specificity Sharp-score
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Beschreibung
Zusammenfassung:	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.
ISSN:	0720-048X 1872-7727
DOI:	10.1016/j.ejrad.2009.04.046