Fully Automated Pipeline for Quantification and Localization of White Matter Hyperintensity in Brain Magnetic Resonance Image
- Authors
- Jeon, Seun; Yoon, Uicheul; Park, Jun-Sung; Seo, Sang Won; Kim, Jung-Hyun; Kim, Sung Tae; Kim, Sun I.; Na, Duk L.; Lee, Jong-Min
- Issue Date
- May-2011
- Publisher
- WILEY
- Keywords
- magnetic resonance imaging; white matter hyperintensity segmentation; regional parcellation; intensity-substitution
- Citation
- International Journal of Imaging Systems and Technology, v.21, no.2, pp.193 - 200
- Indexed
- SCIE
SCOPUS
- Journal Title
- International Journal of Imaging Systems and Technology
- Volume
- 21
- Number
- 2
- Start Page
- 193
- End Page
- 200
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168502
- DOI
- 10.1002/ima.20277
- ISSN
- 0899-9457
- Abstract
- Automated white matter hyperintensity (WMH) segmentation on magnetic resonance imaging is greatly advantageous for various clinical studies using large-sample data. Accurate localization of WMH can provide more beneficial information for clinical studies, as differences of regional WMH existence may be linked to clinical symptoms. We suggest a fully automated method for WMH quantification and localization without human interaction using T1-weighted and fluid-attenuated inversion-recovery (FLAIR) images. The known sources of false-positive results in the subarachnoid space and brain-cerebrospinal fluid (CSF) interface were removed by applying a WMH candidate-region mask. WMH segmentation was performed based on the Markov random field model. The intensity-substitution method was developed for the accurate localization of WMH, with proper tissue classification and nonlinear registration. The performance of the method was evaluated via comparison with manual delineation; the similarity index and the overlap ratio were 89.94 and 81.90, respectively. (C) 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 193-200, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ima.20277
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