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http://dx.doi.org/10.5573/ieek.2013.50.8.225

Improvement Segmentation Method of Medical Images using Volume Data  

Chae, Seung-Hoon (The Research Institute of IT, Chosun University)
Pan, Sung Bum (Dept. of Control, Instrumentation, and Robot Engineering, Chosun University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.8, 2013 , pp. 225-231 More about this Journal
Abstract
Medical image segmentation is an image processing technology prior to performing various medical image processing. Therefore, a variety of methods have been researched for fast and accurate medical image segmentation. Accurate judgment of segmentation region is needed to segment the interest region in which patient requested in medical image that various organs exist. However, an case that scanned a part of organs is small occurs. In this case, information to determine the segmentation region is lack. consequently, a removal of segmentation region occurs during the segmentation process. In this paper, we improved segmentation results in a small region using volume data and linear equation. In order to verify the performance of the proposed method, we segmented the lung region of chest CT images. As a result of experiments, we confirmed that image segmentation accuracy rose from 0.978 to 0.981 and standard deviation also improved from 0.281 to 0.187.
Keywords
CT;
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