title: Texture detection of simulated microcalcification susceptibility effects in magnetic resonance imaging of breasts.
abstract: The presence, size, structure and clustering characteristics of microcalcifications can indicate breast cancer. The magnetic susceptibility of microcalcifications differs from soft biological tissues, leading to directional blurring effects that can be detected by statistical image processing methods. A study of the ability of statistical texture analysis to detect simulated localized blurring in magnetic resonance imaging (MRI) of dense breast is presented. This method can detect localized blurring with sensitivity of 88.89% to 94.44%, specificity of 99.72% to 100%, positive predictive value of 73.91% to 100% and negative predictive value of 99.91% to 99.95%. J. Magn. Reson. Imaging 2001;13:876-881.
authors.affiliation: Department of Electrical Engineering, The Ohio State University, 2015 Nell Avenue, Columbus, OH 43210, USA.
authors.forename: D
authors.initials: D
authors.lastname: James
authors.forename: B D
authors.initials: BD
authors.lastname: Clymer
authors.forename: P
authors.initials: P
authors.lastname: Schmalbrock
mesh_terms: D016477:Artifacts; D001943:Breast Neoplasms / Q000175:diagnosis*; D002114:Calcinosis / Q000175:diagnosis*; D003198:Computer Simulation; D017352:Echo-Planar Imaging; D005260:Female; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008432:Mathematical Computing; D012680:Sensitivity and Specificity