A simple method for semi-automatic readjustment for positioning in post-mortem head computed tomography imaging

Yusuke Kawazoe, Junji Morishita, Yusuke Matsunobu, Miki Okumura, Seitaro Shin, Yosuke Usumoto, Noriaki Ikeda

研究成果: Contribution to journalArticle査読

1 被引用数 (Scopus)

抄録

The purpose of this study is to evaluate the usefulness of a simple method for readjustment of positioning in post-mortem (PM) head computed tomography (CT) imaging. Two hundred and twenty-five autopsied cases were used to test our proposed method. The coordinates of 5 landmarks on axial planes in PM head CT images were determined manually to calculate Yaw, Pitch, and Roll angles for the sake of readjustment. A radiologist and a forensic pathologist evaluated the readjustment by mutual agreement. Intraclass correlation coefficients (ICCs) for Yaw, Pitch, and Roll angles were measured for 3 operators. Similarity in AM and PM images after the readjustment was tested for 18 cases to evaluate the usefulness of the readjustment in personal identification for forensic cases. If similarity of the same person showed the highest value among all combinations in 18 cases, it was regarded as the correct identification. The processing time of our readjustment was limited to within 2 min per case. The orbitomeatal line (OML) was included in a single axial plane in 96.4% (217/225) of the cases after the readjustment. Reproducibility for determining landmarks showed acceptable ICC. Moreover, rank-one identification rate before and after readjustment were 16.7% (3/18) and 88.9% (16/18), respectively. Thus, our method for semi-automated readjustment exhibited potential usefulness in forensic cases. A simple method for semi-automatic readjustment would be a useful tool for post-mortem CT imaging with high reproducibility and a short processing time.

本文言語英語
ページ(範囲)57-64
ページ数8
ジャーナルJournal of Forensic Radiology and Imaging
16
DOI
出版ステータス出版済み - 3 2019

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Radiology Nuclear Medicine and imaging

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