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Bone Segmentation Method of Visible Human using Multimodal Registration  

Lee, Ho (서울대학교 전기.컴퓨터공학부)
Kim, Dong-Sung (숭실대학교 정보통신전자공학과)
Kang, Heung-Sik (서울대학교 의과대학)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.7_8, 2003 , pp. 719-726 More about this Journal
Abstract
This paper proposes a multimodal registration method for segmentation of the Visible Human color images, in which color characteristics of bones are very similar to those of its surrounding fat areas. Bones are initially segmented in CT images, and then registered into color images to lineate their boundaries in the color images. For the segmentation of bones in CT images, a thresholding method is developed. The registration method registers boundaries of bodies in CT and color images using a cross-correlation approach, in which the boundaries of bodies are extracted by thresholding segmentation methods. The proposed method has been applied to segmentation of bones in a head and legs whose boundary is ambiguous due to surrounding fat areas with similar color characteristics, and produced promising results.
Keywords
Medical image segmentation; Multimodal; Registration; Visible Human;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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