Bone comparison identification method based on chest computed tomography imaging

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

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


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
Publication statusPublished - Nov 2017

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Bone comparison identification method based on chest computed tomography imaging'. Together they form a unique fingerprint.

Cite this