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Application of Superimposition‐Based Personal Identification Using Skull Computed Tomography Images
Author(s) -
Ishii Masuko,
Yayama Kazuhiro,
Motani Hisako,
Sakuma Ayaka,
Yasjima Daisuke,
Hayakawa Mutumi,
Yamamoto Seiji,
Iwase Hirotaro
Publication year - 2011
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2011.01797.x
Subject(s) - superimposition , skull , computer vision , artificial intelligence , identification (biology) , forensic identification , tomography , computed tomography , computer science , anatomy , medicine , radiology , biology , geography , archaeology , botany
Superimposition has been applied to skulls of unidentified skeletonized corpses as a personal identification method. The current method involves layering of a skull and a facial image of a suspected person and thus requires a real skeletonized skull. In this study, we scanned skulls of skeletonized corpses by computed tomography (CT), reconstructed three‐dimensional (3D) images of skulls from the CT images, and superimposed the 3D images with facial images of the corresponding persons taken in their lives. Superimposition using 3D‐reconstructed skull images demonstrated, as did superimposition using real skulls, an adequate degree of morphological consistency between the 3D‐reconstructed skulls and persons in the facial images. Three‐dimensional skull images reconstructed from CT images can be saved as data files and the use of these images in superimposition is effective for personal identification of unidentified bodies.