title: Computational radiology in skeletal radiography.
abstract: Recent years have brought rapid developments in computational image analysis in musculo-skeletal radiology. Meanwhile the algorithms have reached a maturity that makes initial clinical use feasible. Applications range from joint space measurement to erosion quantification, and from fracture detection to the assessment of alignment angles. Current results of computational image analysis in radiography are very promising, but some fundamental issues remain to be clarified, among which the definition of the optimal trade off between automatization and operator-dependency, the integration of these tools into clinical work flow and last not least the proof of incremental clinical benefit of these methods.
authors: Computational Image Analysis and Radiology Lab, Department of Radiology, Medical University Vienna, Waehringer Guertel 18-20, Vienna, Austria.
authors: Ph
authors: P
authors: Peloschek
authors: S
authors: S
authors: Nemec
authors: P
authors: P
authors: Widhalm
authors: R
authors: R
authors: Donner
authors: E
authors: E
authors: Birngruber
authors: H H
authors: HH
authors: Thodberg
authors: F
authors: F
authors: Kainberger
authors: G
authors: G
authors: Langs
mesh_terms: D001175:Arthrography / Q000639:trends*; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D006801:Humans; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement / Q000379:methods* / Q000639:trends*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*