title: Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images.
abstract: Our purpose in this study was to develop an automated method for segmentation of white matter (WM) and gray matter (GM) regions with multiple sclerosis (MS) lesions in magnetic resonance (MR) images. The brain parenchymal (BP) region was derived from a histogram analysis for a T1-weighted image. The WM regions were segmented by addition of MS candidate regions, which were detected by our computer-aided detection system for the MS lesions, and subtraction of a basal ganglia and thalamus template from "tentative" WM regions. The GM regions were obtained by subtraction of the WM regions from the BP region. We applied our proposed method to T1-weighted, T2-weighted, and fluid-attenuated inversion-recovery images acquired from 7 MS patients and 7 control subjects on a 3.0 T MRI system. The average similarity indices between the specific regions obtained by our method and by neuroradiologists for the BP and WM regions were 95.5 ± 1.2 and 85.2 ± 4.3%, respectively, for MS patients. Moreover, they were 95.0 ± 2.0 and 85.9 ± 3.4%, respectively, for the control subjects. The proposed method might be feasible for segmentation of WM and GM regions in MS patients.
authors.affiliation: Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
authors.forename: Taiki
authors.initials: T
authors.lastname: Magome
authors.forename: Hidetaka
authors.initials: H
authors.lastname: Arimura
authors.forename: Shingo
authors.initials: S
authors.lastname: Kakeda
authors.forename: Daisuke
authors.initials: D
authors.lastname: Yamamoto
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Kawata
authors.forename: Yasuo
authors.initials: Y
authors.lastname: Yamashita
authors.forename: Yoshiharu
authors.initials: Y
authors.lastname: Higashida
authors.forename: Fukai
authors.initials: F
authors.lastname: Toyofuku
authors.forename: Masafumi
authors.initials: M
authors.lastname: Ohki
authors.forename: Yukunori
authors.initials: Y
authors.lastname: Korogi
mesh_terms: D000293:Adolescent; D000328:Adult; D001331:Automation; D001921:Brain; D003936:Diagnosis, Computer-Assisted; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009103:Multiple Sclerosis / Q000175:diagnosis*; D055815:Young Adult