Abstract
Information on medical devices embedded in the body is important in the identification of an unidentified body. Computed tomography (CT) is a powerful imaging modality; however, metallic artifacts deteriorate the image quality because of the reconstruction method. On the contrary, CT scout view is less affected by metallic artifacts compared to CT. It is a simple method to classify the body into three rough parts for postmortem CT (PMCT) scout view, and an algorithm used to detect the location of the implanted metal has been developed for personal identification in forensic pathology. Of the test images, 97% were correctly classified into the three body parts. The true-positive rate for detection of the implanted metal in the scout view was 96.5%. Therefore, our simple methods are applicable in PMCT scout views and would be particularly useful for forensic pathology.
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Change history
09 September 2020
In the original publication of the article, the authors affiliations were incorrectly published. The corrected affiliations are given in this correction.
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Acknowledgement
We are grateful to Professor Atsushi Teramoto, Ph.D. (Fujita Health University), Mr. Yoichiro Shimizu, Ph.D., Mr. Yusuke Kawazoe (Yamaguchi University Hospital), Mr. Makoto Ozaki, Mr. Yuya Yamashita, and Mr. Jun Kobayashi (Kyushu University) for their useful discussions.
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Wada, Y., Morishita, J., Yoon, Y. et al. A simple method for the automatic classification of body parts and detection of implanted metal using postmortem computed tomography scout view. Radiol Phys Technol 13, 378–384 (2020). https://doi.org/10.1007/s12194-020-00581-4
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DOI: https://doi.org/10.1007/s12194-020-00581-4