TY - JOUR
T1 - Bone comparison identification method based on chest computed tomography imaging
AU - Matsunobu, Yusuke
AU - Morishita, Junji
AU - Usumoto, Yosuke
AU - Okumura, Miki
AU - Ikeda, Noriaki
N1 - Funding Information:
The authors would like to thank faculty members of the Department of Forensic Pathology and Sciences, Graduate school of Medical Sciences, Kyushu University and Masayuki Sasaki, M.D., Ph.D., for useful discussions. A part of this study was supported by JSPS KAKENHI Grant Number 15K08696 .
PY - 2017/11
Y1 - 2017/11
N2 - The aim of this study is to examine the usefulness of bone structure extracted data from chest computed tomography (CT) images for personal identification. Eighteen autopsied cases (12 male and 6 female) that had ante- and post-mortem (AM and PM) CT images were used in this study. The two-dimensional (2D) and three-dimensional (3D) bone images were extracted from the chest CT images via thresholding technique. The similarity between two thoracic bone images (consisting of vertebrae, ribs, and sternum) acquired from AMCT and PMCT images was calculated in terms of the normalized cross-correlation value (NCCV) in both 2D and 3D matchings. An AM case with the highest NCCV corresponding to a given PM case among all of the AM cases studied was regarded as same person. The accuracy of identification of the same person using our method was 100% (18/18) in both 2D and 3D matchings. The NCCVs for the same person tended to be significantly higher than the average of NCCVs for different people in both 2D and 3D matchings. The computation times of image similarity between the two images were less than one second and approximately 10 min in 2D and 3D matching, respectively. Therefore, 2D matching especially for thoracic bones seems more advantageous than 3D matching with regard to computation time. We conclude that our proposed personal identification method using bone structure would be useful in forensic cases.
AB - The aim of this study is to examine the usefulness of bone structure extracted data from chest computed tomography (CT) images for personal identification. Eighteen autopsied cases (12 male and 6 female) that had ante- and post-mortem (AM and PM) CT images were used in this study. The two-dimensional (2D) and three-dimensional (3D) bone images were extracted from the chest CT images via thresholding technique. The similarity between two thoracic bone images (consisting of vertebrae, ribs, and sternum) acquired from AMCT and PMCT images was calculated in terms of the normalized cross-correlation value (NCCV) in both 2D and 3D matchings. An AM case with the highest NCCV corresponding to a given PM case among all of the AM cases studied was regarded as same person. The accuracy of identification of the same person using our method was 100% (18/18) in both 2D and 3D matchings. The NCCVs for the same person tended to be significantly higher than the average of NCCVs for different people in both 2D and 3D matchings. The computation times of image similarity between the two images were less than one second and approximately 10 min in 2D and 3D matching, respectively. Therefore, 2D matching especially for thoracic bones seems more advantageous than 3D matching with regard to computation time. We conclude that our proposed personal identification method using bone structure would be useful in forensic cases.
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U2 - 10.1016/j.legalmed.2017.08.002
DO - 10.1016/j.legalmed.2017.08.002
M3 - Article
C2 - 28869907
AN - SCOPUS:85028575282
SN - 1344-6223
VL - 29
SP - 1
EP - 5
JO - Legal Medicine
JF - Legal Medicine
ER -