title: Quantitative computer-aided analysis of lung texture in chest radiographs.
abstract: The authors describe a computerized method to quantify and characterize interstitial diseases by using physical texture measures obtained from an analysis of the power spectrum of lung textures in digital chest radiographs. They compared these texture measures obtained from standard radiographs from the International Labour Office (ILO) classification scheme and the ILO classification categories for small opacities in pneumoconioses. Their preliminary results indicate that texture measures obtained from this computer analysis of the ILO standard radiographs correspond closely with the ILO classification categories.
authors.affiliation: Kurt Rossmann Laboratories, Department of Radiology, University of Chicago, IL 60637.
authors.forename: S
authors.initials: S
authors.lastname: Katsuragawa
authors.forename: K
authors.initials: K
authors.lastname: Doi
authors.forename: H
authors.initials: H
authors.lastname: MacMahon
authors.forename: N
authors.initials: N
authors.lastname: Nakamori
authors.forename: Y
authors.initials: Y
authors.lastname: Sasaki
authors.forename: J J
authors.initials: JJ
authors.lastname: Fennessy
mesh_terms: D003196:Computer Graphics; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging*; D011009:Pneumoconiosis / Q000000981:diagnostic imaging*; D011856:Radiographic Image Enhancement