Naoki Kamiya

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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)
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited Since September 2010, in Japan serological screening for the detection of human T-cell leukemia virus type 1 (HTLV-1) antibodies can(More)
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited To the Editor Recently, a dramatic increase in pregnancies complicated by mental disorders has been observed in Tokyo, Japan [1, 2].(More)
Prediction of neurosensory deficit in the lower lip and chin after sagittal split ramus osteotomy (SSRO) is challenging. This study aimed to elucidate factors related to the development and improvement of neurosensory disturbance (NSD) after SSRO with respect to surgical procedure and the anatomical and structural characteristics of the craniomaxillofacial(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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