한국인 머리뼈의 3차원 영상을 이용한 성별판별: 비계측적 연구
Estimation of Forensic Sex Based on Three-Dimensional Reconstruction of Skull in Korean: Non-metric Study
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초록
This study performed the forensic anthropological sex estimation of Koreans in a non-metric way by reconstructing three-dimensional (3D) computed tomography (CT) images of skulls. The skull CT images used in this study were 100 (51 males, 49 females), and all CT images were taken with a slice thickness of 0.75 mm and then reconstructed into 3D images using the MIMICS 23.0 program. Using the reconstructed 3D image, measurements were repeated twice. The sex determination was male if the 4 point to 5 point was relatively more in five landmarks, and female if the points of 1 to 2 were relatively more. Results of the study show that, 88 of the 100 cases matched the actual sex. Among the 12 discrepant cases, ten cases were mismatched with the actual sex even though the estimation and repeated estimation readout of sexestimating were the same. Two cases, were “unknown,” showing different sexes in the first and repeated estimations. In conclusion, this study indicated that a forensic anthropological analysis from 3D images provided accurate point information on the landmarks of skulls, showing as high an accuracy as the sex estimation method using real bones. The ten cases of sex mismatch, except the two “Unknown” cases, are considered to be errors that did not consider differences in population groups. In further studies, further establishing a nonmetric, specifically Korean methods to increase the accuracy and reliability of sex estimation is need.
Abstract
This study performed the forensic anthropological sex estimation of Koreans in a non-metric way by reconstructing three-dimensional (3D) computed tomography (CT) images of skulls. The skull CT images used in this study were 100 (51 males, 49 females), and all CT images were taken with a slice thickness of 0.75 mm and then reconstructed into 3D images using the MIMICS 23.0 program. Using the reconstructed 3D image, measurements were repeated twice. The sex determination was male if the 4 point to 5 point was relatively more in five landmarks, and female if the points of 1 to 2 were relatively more. Results of the study show that, 88 of the 100 cases matched the actual sex. Among the 12 discrepant cases, ten cases were mismatched with the actual sex even though the estimation and repeated estimation readout of sexestimating were the same. Two cases, were “unknown,” showing different sexes in the first and repeated estimations. In conclusion, this study indicated that a forensic anthropological analysis from 3D images provided accurate point information on the landmarks of skulls, showing as high an accuracy as the sex estimation method using real bones. The ten cases of sex mismatch, except the two “Unknown” cases, are considered to be errors that did not consider differences in population groups. In further studies, further establishing a nonmetric, specifically Korean methods to increase the accuracy and reliability of sex estimation is need.
참고문헌 (32)
- Li Z, "Use of 3D reconstruction of emergency and postoperative craniocerebral CT images to explore craniocerebral trauma mechanism", Forensic Sci Int, 255, pp.106~111 (2015)
- 이수경, "법의부검에서 중요한 사후컴퓨터단층촬영 소견", 대한법의학회지, 38(3), pp.103~112 (2014), 대한법의학회
- Santarelli C, "Volumetric interpolation of tomographic sequences for accurate 3D reconstruction of anatomical parts", Comput Methods Programs Biomed, 194, pp.105525~ (2020)
- Park SH, "A proposal for a new analysis of craniofacial morphology by 3-dimensional computed tomography", Am J Orthod Dentofacial Orthop, 129, pp.600~ (2006)
- Kim DI, "Identification using frontal sinus by three-dimensional reconstruction from computed tomography", J Forensic Sci, 58, pp.5~12 (2013)
- Byers SN, "Introduction to forensic anthropology", pp.151~165 (2011), Pearson
- Reichs KJ, "Forensic osteology: advances in the identification of human remains", pp.163~166 (1998), Charles C Thomas
- Stevenson JC, "Technical note : prediction of sex based on five skull traits using decision analysis(CHAID)", Am J Phys Anthropol, 139, pp.434~441 (2009)
- Robles M, "A step-by-step method for producing 3D crania models from CT data", Forensic Imaging, 23, pp.200404~ (2020)
- Simmons-Ehrhardta TL, "Evaluation of the suitability of cranial measurements obtained from surfacerendered CT scans of living people for estimating sex and ancestry", J Forensic Radiol Imaging, 19, pp.100338~ (2019)
- 김덕임, "한국인 머리뼈 3차원 영상을 이용한 성별판별: 판별분석을 통한 계측학적 연구", 해부·생물인류학, 28(2), pp.103~118 (2015), 대한체질인류학회[DOI]
- 김덕임, "바깥뒤통수뼈융기의 3차원 재구성 영상을 이용한 한국인 성별 판별: 비계측적 연구", 해부·생물인류학, 28(4), pp.239~245 (2015), 대한체질인류학회[DOI]
- Standards for data collection from human skeletal remains, "Buikstra JE", Arkansas Archeological Survey, ~, pp.Arkansas Archeological Survey Research Series No. 44 (1994)
- Thompson T, "Forensic human identification: an introduction", pp.199~226 (2007), CRC Press
- Choi BY, "Sex discrimination with the metric measurements of the Korean dried pelvic bones by discriminant function analysis", Korean J Phys Anthropol, 12, pp.151~158 (1999)
- Ogawa Y, "Discriminant functions for sex discrimination of modern Japanese skulls", J Forensic Leg Med, 20, pp.234~238 (2013)
- Perera P, "A pilot study on assessment of racial affinity of Sri Lankan population using discriminant function statistics and a few established morphological racial traits", Leg Med (Tokyo), 11(Suppl 1), pp.S182~S185 (2009)
- Fliss B, "CT-based sex estimation on human femora using statistical shape modeling", Am J Phys Anthropol, 169, pp.279~286 (2019)
- d'Oliveira Coelho J, "CADOES : an interactive machinelearning approach for sex estimation with the pelvis", Forensic Sci Int, 302, pp.109873~ (2019)
- du Jardin P, "A comparison between neural network and other metric methods to determine sex from the upper femur in a modern French population", Forensic Sci Int, 192, pp.127~ (2009)
- Curate F, "Sex determination from the femur in Portuguese populations with classical and machinelearning classifiers", J Forensic Leg Med, 52, pp.75~81 (2017)
- Ekizoglu O, "Assessment of sex in a modern Turkish population using cranial anthropometric parameters", Leg Med(Tokyo), 21, pp.45~52 (2016)
- Gillet C, "Sex estimation in the cranium and mandible : a multislice computed tomography(MSCT)study using anthropometric and geometric morphometry methods", Int J Legal Med, 134, pp.823~832 (2020)
- Dong H, "Sexual dimorphism of the mandible in a contemporary Chinese Han population", Forensic Sci Int, 255, pp.9~15 (2015)
- Imaizumi K, "Development of a sex discrimination method for skulls using machine learning on three-dimensional shapes of skulls and skull parts", Forensic Imaging, 22, pp.200393~ (2020)
- Zhan MJ, "Estimation of stature and sex from skull measurements by multidetector computed tomography in Chinese", Leg Med(Tokyo), 41, pp.101625~ (2019)
- Ford JM, "Computed tomography slice thickness and its effects on three-dimensional reconstruction of anatomical structures", J Forensic Radiol Imaging, 4, pp.43~46 (2016)
- Schuh P, "Can clinical CT data improve forensic reconstruction", Int J Legal Med, 127, pp.631~638 (2013)
- Robinson C, "Anthropological measurement of lower limb and foot bones using multi-detector computed tomography", J Forensic Sci, 53, pp.1289~1295 (2008)
- Grieser C, "Assessment of the cerebellar arteries with multidetector computed tomography angiography benefits from submillimeter slice thickness", Clin Imaging, 35, pp.247~252 (2011)
- Gulhan O, "A new computer-tomography-based method of sex estimation : development of Turkish populationspecific standards", Forensic Sci Int, 255, pp.2~8 (2015)
- Zhan MJ, "Discrimination of sex based on patella measurements in a contemporary Chinese population using multidetector computed tomography: an automatic measurement method", Leg Med (Tokyo), 47, pp.101778~ (2020)