Document Detail


Automated segmentation method of white matter and gray matter regions with multiple sclerosis lesions in MR images.
MedLine Citation:
PMID:  20882375     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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:
Taiki Magome; Hidetaka Arimura; Shingo Kakeda; Daisuke Yamamoto; Yasuo Kawata; Yasuo Yamashita; Yoshiharu Higashida; Fukai Toyofuku; Masafumi Ohki; Yukunori Korogi
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Publication Detail:
Type:  Journal Article     Date:  2010-09-30
Journal Detail:
Title:  Radiological physics and technology     Volume:  4     ISSN:  1865-0341     ISO Abbreviation:  Radiol Phys Technol     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101467995     Medline TA:  Radiol Phys Technol     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  61-72     Citation Subset:  IM    
Affiliation:
Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
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