Bone comparison identification method based on chest computed tomography imaging

Yusuke Matsunobu, Junji Morishita, Yosuke Usumoto, Miki Okumura, Noriaki Ikeda

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalLegal Medicine
Volume29
DOIs
Publication statusPublished - Nov 1 2017

Fingerprint

Thorax
Tomography
Bone and Bones
Sternum
Ribs
Spine

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Issues, ethics and legal aspects

Cite this

Bone comparison identification method based on chest computed tomography imaging. / Matsunobu, Yusuke; Morishita, Junji; Usumoto, Yosuke; Okumura, Miki; Ikeda, Noriaki.

In: Legal Medicine, Vol. 29, 01.11.2017, p. 1-5.

Research output: Contribution to journalArticle

@article{5aad6a250bd347f7ac9555e3ae178f5d,
title = "Bone comparison identification method based on chest computed tomography imaging",
abstract = "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.",
author = "Yusuke Matsunobu and Junji Morishita and Yosuke Usumoto and Miki Okumura and Noriaki Ikeda",
year = "2017",
month = "11",
day = "1",
doi = "10.1016/j.legalmed.2017.08.002",
language = "English",
volume = "29",
pages = "1--5",
journal = "Legal Medicine",
issn = "1344-6223",
publisher = "Elsevier",

}

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

PY - 2017/11/1

Y1 - 2017/11/1

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.

UR - http://www.scopus.com/inward/record.url?scp=85028575282&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028575282&partnerID=8YFLogxK

U2 - 10.1016/j.legalmed.2017.08.002

DO - 10.1016/j.legalmed.2017.08.002

M3 - Article

VL - 29

SP - 1

EP - 5

JO - Legal Medicine

JF - Legal Medicine

SN - 1344-6223

ER -