Stature estimation by semi-automatic measurements of 3D CT images of the femur

• Published in: International Journal of Legal Medicine Vol. 137; no. 2; pp. 359 - 377
• Main Authors: Kira, Kei, Chiba, Fumiko, Makino, Yohsuke, Torimitsu, Suguru, Yamaguchi, Rutsuko, Tsuneya, Shigeki, Motomura, Ayumi, Yoshida, Maiko, Saitoh, Naoki, Inokuchi, Go, Hoshioka, Yumi, Saitoh, Hisako, Yajima, Daisuke, Iwase, Hirotaro
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Science and Business Media LLC 01.03.2023; Springer Berlin Heidelberg; Springer Nature B.V
• Subjects: Adult; Artificial Intelligence; Asian People; Body Height; Bones; Cadaver; Cadavers; Computed tomography; Error analysis; Female; Femur; Femur - anatomy & histology; Femur - diagnostic imaging; Forensic Anthropology; Forensic Anthropology - methods; Forensic Medicine; Height; Humans; Image reconstruction; Male; Measurement methods; Medical imaging; Medical Law; Medicine; Medicine & Public Health; Multidetector Computed Tomography; Multidetector Computed Tomography - methods; Original; Original Article; Regression analysis; Standard error; Tomography; Semi-automatic measurement; Femur; Stature estimation; Computed tomography; Artificial intelligence

Stature estimation is one of the most basic and important methods of personal identification. The long bones of the limbs provide the most accurate stature estimation, with the femur being one of the most useful. In all the previously reported methods of stature estimation using computed tomography...