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http://dx.doi.org/10.9728/dcs.2013.14.2.275

Effective Gray-white Matter Segmentation Method based on Physical Contrast Enhancement in an MR Brain Images  

Eun, Sung-Jong (가천대학교 일반대학원 전자계산학과)
Whangbo, Taeg-Keun (가천대학교 IT대학 컴퓨터미디어융합과)
Publication Information
Journal of Digital Contents Society / v.14, no.2, 2013 , pp. 275-282 More about this Journal
Abstract
In medical image processing field, object recognition is usually carried out by computerized processing of various input information such as brightness, shape, and pattern. If the information mentioned does not make sense, however, many limitations could occur with object recognition during computer processing. Therefore, this paper suggests effective object recognition method based on the magnetic resonance (MR) theory to resolve the basic limitations in computer processing. We propose the efficient method of robust gray-white matter segmentation by texture analysis through the Susceptibility Weighted Imaging (SWI) for contrast enhancement. As a result, an average area difference of 5.2%, which was higher than the accuracy of conventional region segmentation algorithm, was obtained.
Keywords
Susceptibility Weighted Imaging (SWI); Phase Unwrapping; Brain Segmentation; MR image; Texture Analysis;
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