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日本人女性甲状軟骨の超軟X線像からの年齢推定
https://kindai.repo.nii.ac.jp/records/2001599
https://kindai.repo.nii.ac.jp/records/2001599e217eeac-ae88-4dc7-9c7d-bae2463d2b27
名前 / ファイル | ライセンス | アクション |
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Item type | ☆紀要論文 / Departmental Bulletin Paper(1) | |||||||||
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公開日 | 2024-07-19 | |||||||||
タイトル | ||||||||||
タイトル | 日本人女性甲状軟骨の超軟X線像からの年齢推定 | |||||||||
言語 | ja | |||||||||
タイトル | ||||||||||
タイトル | Estimation of age from soft X-ray findings of Japanese females thyroid cartilages | |||||||||
言語 | en | |||||||||
著者 |
佐野, 嘉則
× 佐野, 嘉則
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言語 | ||||||||||
言語 | jpn | |||||||||
キーワード | ||||||||||
主題 | personal identification, age determination, image processing, thyroid cartilages, ossification, radiograph | |||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
資源タイプ | departmental bulletin paper | |||||||||
版 | ||||||||||
出版タイプ | AM | |||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
出版者 名前 | ||||||||||
出版者 | 近畿大学医学会 | |||||||||
言語 | ja | |||||||||
書誌情報 |
ja : 近畿大学医学雑誌 en : Medical Journal of Kinki University 巻 19, 号 4, p. 431-443, 発行日 1994-12-25 |
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ISSN | ||||||||||
収録物識別子タイプ | PISSN | |||||||||
収録物識別子 | 03858367 | |||||||||
内容記述 | ||||||||||
内容記述タイプ | Abstract | |||||||||
内容記述 | A method for estimating the age at death using the image processing of soft X-ray pictures of the thyroid cartilages of Japanese females was examined. The specimens were collected from 513 individuals between 15 and 95 yeares of age. The age estimation equations were derived using materials from the individuals 20 to 80 years of age. The perichondrium was removed before taking their soft X-ray pictures. Prior to the image processing, subjective assessment was made on the indices of gross morphological findings. The soft X-ray pictures showed increasing ossification with age. Four indices for image processing were introduced. They were ossification rate (OSFR) and secondary moment (GLDM), contrast (GLDC), and entropy (GLDE) based on the Gray Level difference statistics. Only GLDM showed an exponential variation and the others linear variation. Corresponding to each index, four age estimation equations were obtained. These age estimation equations showed accuracies of 70% or more for the age range of ±5 years and about 90% for the age range of ±8 years. The equations were applicable in the age range of 20 to 80 years and were sufficiently accurate to be applied for age estimation in the field of person appraisal in legal medicine. | |||||||||
言語 | en | |||||||||
内容記述 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | 本文データはCiNiiから複製したものである。 | |||||||||
言語 | ja |