title: Intracranial contour extraction with active contour models.
abstract: A novel image processing scheme for extracting the intracranial contours in axial magnetic resonance data sets is proposed. The scheme incorporates the method of active contour models, a recently introduced paradigm for contour extraction. Its performance is nearly ideal for T2-weighted images. Although the performances for proton-density-weighted images and T1-weighted images drop slightly, qualitatively satisfactory extraction still can be obtained for T1-weighted images. Due to high degree of automation, the scheme should help speed up some image processing applications that require the presegmentation of the intracranial cavity.
authors.affiliation: Department of Radiology, Graduate School of Medicine, Kyoto University, Japan.
authors.forename: S
authors.initials: S
authors.lastname: Matsumoto
authors.forename: R
authors.initials: R
authors.lastname: Asato
authors.forename: T
authors.initials: T
authors.lastname: Okada
authors.forename: J
authors.initials: J
authors.lastname: Konishi
mesh_terms: D016477:Artifacts; D001921:Brain / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods*; D008959:Models, Neurological; D012680:Sensitivity and Specificity