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http://dx.doi.org/10.6109/jkiice.2018.22.2.243

A Bone Region Extraction Method based on Snake Algorithm and Particle Filter in CT image  

Jung, Sung-Tae (Department of Computer and Software Engineering, Wonkwang University)
Kim, Young-Un (Good Information Technologies Co.,Ltd.)
Kang, Sun-Kyoung (Department of Computer and Software Engineering, Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.2, 2018 , pp. 243-252 More about this Journal
Abstract
In this paper, we propose a bone region extraction method using a snake algorithm and a particle filter in CT image. We extract the bone outline using the snake algorithm, and extract the bone area by moving the particle filter along this outline. If other bones are in close proximity to the bone outline, the snake algorithm may not be able to extract the bone outline completely. At this time, the particle filter extracts the bone area while compensating for the error. In this paper, we compared the proposed method with the conventional morphological processing method. The result is similar when other bones are not close to the bone area to be extracted. However, if other bones are close to each other, The accuracy of the proposed method is higher than the conventional morphological processing method.
Keywords
Snake Algorithm; Particle Filter; Bone Region Extraction; CT image;
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Times Cited By KSCI : 3  (Citation Analysis)
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