title: [Development of semi-automated segmentation of the brain and CSF Region on MR images].
abstract: MR imaging (MRI) is an important method for the diagnosis of abnormalities of the brain. In the present report, a semi-automated method is presented to segment the brain and CSF region on brain MR images. MR images were obtained from 6 subjects by SE sequence and 8 subjects by GRE sequence. The semi-automated method consisted of the following three steps: (1) segmentation of the intracranial region using the region-growing technique, (2) segmentation of the brain region using histogram analysis and mathematical morphology, and (3) segmentation of the CSF region using the top-hat transformation technique. The average ratio of a correctly recognized region (CRR) between the semi-automated method and manual method was 87.9%, 85.1% for the intracranial region (IRR), and 94.8% and 86.8% for the brain region in the SE and GRE sequences.
authors.affiliation: Department of Radiological Technology, Kanazawa University Hospital.
authors.forename: Norio
authors.initials: N
authors.lastname: Hayashi
authors.forename: Keita
authors.initials: K
authors.lastname: Sakuta
authors.forename: Shigeru
authors.initials: S
authors.lastname: Sanada
authors.forename: Masayuki
authors.initials: M
authors.lastname: Suzuki
authors.forename: Yukihiro
authors.initials: Y
authors.lastname: Matsuura
authors.forename: Tomoyuki
authors.initials: T
authors.lastname: Yamamoto
authors.forename: Osamu
authors.initials: O
authors.lastname: Matsui
mesh_terms: D000328:Adult; D001921:Brain / Q000033:anatomy & histology*; D002555:Cerebrospinal Fluid; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008433:Mathematics; D008875:Middle Aged