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Effective R2 Map-Based Liver Segmentation Method in an MR Image

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4 Author(s)
Sung-Jong Eun ; Dept. of Comput. Sci., Gachon Univ., Seongnam, South Korea ; Jeongmin Kwon ; Hyeonjin Kim ; Taeg-Keun Whangbo

Object recognition is usually processed based on region segmentation algorithm. Region segmentation in the IT field is carried out by computerized processing of various input information such as brightness, shape, and pattern analysis. If the information mentioned does not make sense, however, many limitations could occur with region segmentation during computer processing. Therefore, this paper suggests effective region segmentation method based on R2 information within the magnetic resonance (MR) theory. In this study, the experiment had been conducted using images including the liver region and by setting up feature points of R2 map as seed points for region growing to enable region segmentation even when the border line was not clear. As a result, an average area difference of 8.5%, which was higher than the accuracy of conventional region segmentation algorithm, was obtained.

Published in:

Information Science and Applications (ICISA), 2012 International Conference on

Date of Conference:

23-25 May 2012

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