TY - JOUR
T1 - A simple method for the automatic classification of body parts and detection of implanted metal using postmortem computed tomography scout view
AU - Wada, Yuya
AU - Morishita, Junji
AU - Yoon, Yongsu
AU - Okumura, Miki
AU - Ikeda, Noriaki
N1 - Funding Information:
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.
Publisher Copyright:
© 2020, Japanese Society of Radiological Technology and Japan Society of Medical Physics.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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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U2 - 10.1007/s12194-020-00581-4
DO - 10.1007/s12194-020-00581-4
M3 - Article
C2 - 32813235
AN - SCOPUS:85089700974
VL - 13
SP - 378
EP - 384
JO - Radiological Physics and Technology
JF - Radiological Physics and Technology
SN - 1865-0333
IS - 4
ER -