title: Fractal-based image texture analysis of trabecular bone architecture.
abstract: Fractal-based image analysis methods are investigated to extract textural features related to the anisotropic structure of trabecular bone from the X-ray images of cubic bone specimens. Three methods are used to quantify image textural features: power spectrum, Minkowski dimension and mean intercept length. The global fractal dimension is used to describe the overall roughness of the image texture. The anisotropic features formed by the trabeculae are characterised by a fabric ellipse, whose orientation and eccentricity reflect the textural anisotropy of the image. Tests of these methods with synthetic images of known fractal dimension show that the Minkowski dimension provides a more accurate and consistent estimation of global fractal dimension. Tests on bone x-ray (eccentricity range 0.25-0.80) images indicate that the Minkowski dimension is more sensitive to the changes in textural orientation. The results suggest that the Minkowski dimension is a better measure for characterising trabecular bone anisotropy in the x-ray images of thick specimens.
authors.affiliation: Analogic Corporation, Peabody, MA 01960, USA. cjiang@analogic.com
authors.forename: C
authors.initials: C
authors.lastname: Jiang
authors.forename: R E
authors.initials: RE
authors.lastname: Pitt
authors.forename: J E
authors.initials: JE
authors.lastname: Bertram
authors.forename: D J
authors.initials: DJ
authors.lastname: Aneshansley
mesh_terms: D000818:Animals; D016880:Anisotropy; D001842:Bone and Bones / Q000033:anatomy & histology* / Q000000981:diagnostic imaging; D002417:Cattle; D005260:Female; D017709:Fractals; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D011859:Radiography