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Our purpose in this study is to segment the rectus abdominis muscle region in X-ray CT images, and we propose a novel recognition method based on the shape model. In this method, three steps are included in the segmentation process. The first is to generate a shape model for the rectus abdominis muscle. The second is to recognize anatomical feature points(More)
Our motivation was to provide an automatic tool for radiologists and orthopedic surgeons for improving the quality of life of an aging population. We propose a method for generating a shape model and a fully automated segmenting scheme for the psoas major muscle in X-ray CT images by using the shape model. Our approach consists of two steps: (1) The(More)
SUMMARY Our purpose in this study is to develop a scheme to segment the rectus abdominis muscle region in X-ray CT images. We propose a new muscle recognition method based on the shape model. In this method, three steps are included in the segmentation process. The first is to generate a shape model for representing the rectus abdominis muscle. The second(More)
In Japan, e-Japan Strategy II, which was announced in 2003, has been promoting the digital archives of tangible and intangible cultural heritage [1]. This effort is being continued in the i-Japan Strategy 2015 which was published in 2009 [2]. In addition, in a dangerous area such as a disaster area is in need of detailed data for lifesavings and(More)
In recent years, a variety of medical images are used for diagnosis. However, it is difficult to understand these images by patient without anatomical knowledge. In particular, CT images consist of large number of slice images. It causes a lack of understanding about positional information in their body. This will adversely affect the first-person informed(More)
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