Use of computed tomography data for forensic identification of an individual
- Authors: Leonov S.V.1,2, Shakiryanova J.P.1,2
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Affiliations:
- FSGI «111 Chief state center for medical forensic and criminalistical examination» of the Ministry of Defense Russian Federation
- Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
- Issue: Vol 6, No 4 (2020)
- Pages: 41-45
- Section: MANUAL FOR THE FORENSIC MEDICAL EXPERT
- URL: https://journals.rcsi.science/2411-8729/article/view/122418
- DOI: https://doi.org/10.19048/fm339
- ID: 122418
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Abstract
Background: The article presents our own experience of using computer tomography for identification of individuals with known results.
Aims: The aim of the study was to verify the possibility of performing an identification study using a three-dimensional model obtained from computed tomography of the head. Identification was performed using a three-dimensional model of the head, based on computer tomography sections made in various projections, with a step of 1.23–1.25 mm. Two-dimensional images of the face (photos) were used for comparison. All comparative studies were conducted using approved methods of craniofacial and portrait identification: by reference points and contours. The experiment used a computer program that allows you to export DICOM-files of computed tomography results to other formats (InVesalius), as well as computer programs that directly work with the research objects (Autodesk 3ds Max, alternative programs Adobe Photoshop, Smith Micro Poser Pro).
Results: In the course of research, it was found that, having computer tomography data of the head, it is possible to conduct identification studies on the following parameters: on the reconstructed three-dimensional model of the soft tissues of the face, on the three-dimensional model of the skull (craniofacial identification), on the features of the structure of the ear.
Conclusion: Positive results were obtained when comparing objects, which makes it advisable to use them in practical and scientific activities.
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##article.viewOnOriginalSite##About the authors
Sergey V. Leonov
FSGI «111 Chief state center for medical forensic and criminalistical examination» of the Ministry of Defense Russian Federation; Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
Email: sleonoff@inbox.ru
ORCID iD: 0000-0003-4228-8973
Dr. Sci. (Med.), Professor
Russian Federation, Moscow; MoscowJulia P. Shakiryanova
FSGI «111 Chief state center for medical forensic and criminalistical examination» of the Ministry of Defense Russian Federation; Moscow State University of Medicine and Dentistry named after A.I. Evdokimov
Author for correspondence.
Email: tristeza_ul@mail.ru
ORCID iD: 0000-0002-1099-5561
Cand. Sci. (Med.)
Russian Federation, 3, Gospitalnaya square, Moscow, 105229; MoscowReferences
- Abramov AS. Ispol’zovanie prizhiznennykh rentgenograficheskikh izobrazhenii golovy i zubochelyustnogo apparata pri provedenii identifikatsii lichnosti [dissertation abstract]. Moscow; 2012. Available from: https://search.rsl.ru/ru/record/01005046532. (In Russ).
- Kovalev AV. Identifikatsiya lichnosti po osobennostyam stroeniya grudnoi kletki i pozvonochnika: rentgenologicheskoe i sudebno-meditsinskoe issledovanie [dissertation abstract]. Saint Petersburg; 1997. Available from: https://search.rsl.ru/ru/record/01000029337. (In Russ).
- Karpova GN. Identifikatsiya lichnosti po kompleksnomu issledovaniyu osobennostei stroeniya zubov i zubnykh ryadov [dissertation]. Moscow; 2004. Available from: https://search.rsl.ru/ru/record/01004065943. (In Russ).
- Ehyubov UG. Issledovanie angulyarnykh priznakov zubov i zubnykh ryadov primenitel’no k tselyam identifikatsii lichnosti [dissertation abstract]. Moscow; 2005. Available from: https://search.rsl.ru/ru/record/01003039865. (In Russ).
- Gorshkov AN. Individual’nye osobennosti lobnykh pazukh kak kriterii identifikatsii lichnosti [dissertation abstract]. Saint Petersburg; 2003. Available from: https://search.rsl.ru/ru/record/01002325938. (In Russ).
- Neklyudov YuA. Rentgenoanatomicheskoe issledovanie polovykh, vozrastnykh i individual’nykh osobennostei distal’nykh falang kisti v sudebno-meditsinskom otnoshenii [dissertation abstract]. Moscow; 1969. Available from: https://search.rsl.ru/ru/record/ 01007186002. (In Russ).
- Poylov SA, Ovchinnikov OB, yaparov SS, Feigin AV. Use of lifetime radiographs for identification of a person’s personality. Problems of expertise in medicine. 2001;1(2):42–43. (In Russ).
- Klevno VA, Chumakova YuV. Virtopsia — a new research method in the domestic practice of forensic medicine. Russian Journal of Forensic Medicine. 2019;(S1):46. (In Russ).
- Meisenzahl M. Facial-recognition software is now so advanced that it can identify you only from an MRI scan of your brain, a new study reveals. 2019. Available from: https://www.businessinsider.com/facial-recognition-software-identifies-patients-from-mri-brain-scan-study-2019-10.
- Dadabaev VK, Strelnikov VN, Strelnikov EV. Human identification by X-ray computed tomography. International scientific research journal. 2015;9(40):19–27. (In Russ).
- Kovalev AV, Ametrin MD, Zolotenkova GV, et al. Forensic age determination based on CT scans of the skull and craniovertebral region in the sagittal projection. Forensic medical examination. 2018;(1):21–27. (In Russ).
- Leonov SV, Krupin KN, Petrov VV. Features of the morphology of tibial fractures caused by a shot at point-blank range with a multicomponent bullet traumatic charge of 12-gauge, with the established method of mathematical modeling of the mechanism of their formation. Bulletin of forensic medicine. 2017;3(6):9–15. (In Russ).
- Abramov SS. Komp’yuterizatsiya kraniofatsial’noi identifikatsii: metodologiya i praktika [dissertation abstract]. Moscow; 1998. Available from: https://search.rsl.ru/ru/record/01000213188. (In Russ).
- Zinin AM, Kirsanova LZ. Forensic photo-portrait examination: A textbook. Ed. by V.A. Snetkov, Z.I. Kirsanov. Moscow: VNKTS MVD SSSR; 1991. (In Russ).
- Shakiryanova YuP, Leonov SV, Pinchuk PV. Method of craniofacial identification using software “3 ds Max” and “AgisoftPhotoscan”. Moscow: Mozartina; 2019. (In Russ).
- Shakiryanova YuP, Leonov SV, Pinchuk PV. Experience of improving the method of craniofacial diagnostics in solving identification problems. Medical examination and the right. 2017;(1):15–18. (In Russ).
- Shakiryanova YuP, Leonov SV. Portrait expertise using three-dimensional modeling. Russian Journal of Forensic Medicine. 2019;(S1):165. (In Russ).
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