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This study aims to extend a CV-based personal identification method from orthopantomograms (OPGs) to computed tomography (CT) examinations using single CT slices.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>The study analyzed 819 cranial computed tomography (CCT) examinations from 722 individuals, focusing on single CT slices from six anatomical regions to explore their potential for CV-based personal identification in 69 procedures. CV automatically identifies and describes interesting features in images, which can be recognized in a reference image and then designated as matching points. In this study, the number of matching points was used as an indicator for identification.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Across six different regions, identification rates ranged from 41\/69 (59%) to 69\/69 (100%) across over 700 possible identities. Comparison of images from the same individual achieved higher matching points, averaging 6.32\u2009\u00b1\u20090.52% (100% represents the maximum possible matching points), while images of different individuals averaged 0.94\u2009\u00b1\u20090.15%. Reliable matching points are found in the teeth, maxilla, cervical spine, skull bones, and paranasal sinuses, with the maxillary sinuses and ethmoidal cells being particularly suitable for identification due to their abundant matching points.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Unambiguous identification of individuals based on a single CT slice is achievable, with maxillary sinus CT slices showing the highest identification rates. However, metal artifacts, especially from dental prosthetics, and various head positions can hinder identification.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Clinical relevance statement<\/jats:title>\n            <jats:p>Radiology possesses a multitude of reference images for a CV database, facilitating automated CV-based personal identification in emergency examinations or cases involving unknown deceased individuals. This enhances patient care and communication with relatives by granting access to medical history.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Key Points<\/jats:title>\n            <jats:p>\n              <jats:list list-type=\"bullet\">\n                <jats:list-item>\n                  <jats:p>\n                    <jats:italic>Unknown individuals in radiology or forensics pose challenges, addressed through automatic CV-based identification methods<\/jats:italic>.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>\n                    <jats:italic>A single CT slice highlighting the maxillary sinuses is particularly effective for personal identification<\/jats:italic>.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>\n                    <jats:italic>Radiology plays a pivotal role in automated personal identification by leveraging its extensive image database<\/jats:italic>.<\/jats:p>\n                <\/jats:list-item>\n              <\/jats:list>\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s00330-024-11013-x","type":"journal-article","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:33:07Z","timestamp":1724409187000},"page":"2422-2433","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Automatic personal identification using a single CT image"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3862-4543","authenticated-orcid":false,"given":"Andreas","family":"Heinrich","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"key":"11013_CR1","doi-asserted-by":"publisher","first-page":"2828","DOI":"10.1007\/s00330-016-4677-8","volume":"27","author":"VS Young","year":"2017","unstructured":"Young VS, Eggesb\u00f8 HB, Gaarder C, N\u00e6ss PA, Enden T (2017) Radiology response in the emergency department during a mass casualty incident: a retrospective study of the two terrorist attacks on 22 July 2011 in Norway. 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This work is part of the DFG project on identifying unknown individuals using CV with a large antemortem CV database [] (). The ECR 2024 Scientific Exhibition Jury awarded \u201cMagna cum laude\u201d to my poster #10469, titled \u201cAutomatic Person Identification Using a Single CT Image\u201d.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No study subjects or cohorts have been previously reported.","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}