Abstract
Osseous remains provide forensic anthropologists with morphological and osteometric information that can be used in building a biological profile. By conducting a visual and physical examination, an anthropologist can infer information such as the sex and age of the deceased. Traditionally, morphological and osteometric information is gathered by physically handling remains for analysis. With the advancement of digital technology, there has been a shift from direct to indirect methods of analysis by utilizing models generated from three-dimensional (3D) imaging, which includes computed tomography (CT) scanning and 3D photogrammetry. Although CT scanning is more common, photogrammetry has found application in a range of fields such as architecture, geography and road accident reconstruction. The application of modern-day photogrammetry for forensic anthropology purposes, however, has not been discussed extensively. The aim of this research was to validate the accuracy of 3D models generated by photogrammetry by comparing them to both 3D models generated by CT scanning and the actual physical models. In this study, six 3D models were created using photogrammetry (n = 3) and CT scanning (n = 3). The 3D models were generated from three different Bone Clone® human skulls. A mobile phone camera was used to capture images, which were then processed in Agisoft Metashape®. Intrarater, interrater, and intermethod reliability tests gave correlation coefficients of at least 0.9980, 0.9871, and 0.9862, respectively; rTEM results ranged from 0.250 to 6.55%; and an analysis of variance (ANOVA) yielded P values under 0.05 for all measurements except one. Statistical tests therefore showed photogrammetry to be a reliable and accurate alternative to more expensive CT scanning approaches.
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References
Gupta S, Gupta V, Vij H, Vij R, Tyagi N (2015) Forensic facial reconstruction: the final frontier. J Clin Diagn Res. https://doi.org/10.7860/jcdr/2015/14621.6568
Ubelaker D, Shamlou A, Kunkle A (2018) Contributions of forensic anthropology to positive scientific identification: a critical review. Forensic Sci Res 4(1):45–50. https://doi.org/10.1080/20961790.2018.1523704
Wheat A (2009) Assessing ancestry through nonmetric traits of the skull: a test of education and experience. Dissertation, Texas State University
Parsons H (2017) The accuracy of the biological profile in casework: an analysis of forensic anthropology reports in three medical examiners’ offices. Dissertation, The University of Tennessee
Dirkmaat D (2012) A companion to forensic anthropology. Wiley-Blackwell, Malden
Tersigni-Tarrant M, Langley N (2013) Forensic anthropology. CRC Press, Boca Raton
Rogers T, Allard T (2004) Expert testimony and positive identification of human remains through cranial suture patterns. J Forensic Sci 49(2):1–5. https://doi.org/10.1520/jfs2003095
Priya E (2017) Methods of skeletal age estimation used by forensic anthropologists in adults: a review. Forensic Res Criminol Int J 4(2). https://doi.org/10.15406/frcij.2017.04.00104
Heike C, Cunningham M, Hing A, Stuhaug E, Starr J (2009) Picture perfect? Reliability of craniofacial anthropometry using three-dimensional digital stereophotogrammetry. Plast Reconstr Surg 124(4):1261–1272. https://doi.org/10.1097/prs.0b013e3181b454bd
Fourie Z, Damstra J, Gerrits P, Ren Y (2011) Evaluation of anthropometric accuracy and reliability using different three-dimensional scanning systems. Forensic Sci Int 207(1–3):127–134. https://doi.org/10.1016/j.forsciint.2010.09.018
García de León Valenzuela M (2014) Three-dimensional image technology in forensic anthropology: assessing the validity of biological profiles derived from CT-3D images of the skeleton. Dissertation, Boston University
Duke E, Aguirre S (2010) 3D imaging: theory, technology and applications. Nova Science Publishers, New York
Verhoff M, Ramsthaler F, Krähahn J et al (2008) Digital forensic osteology—possibilities in cooperation with the Virtopsy® project. Forensic Sci Int 174(2–3):152–156. https://doi.org/10.1016/j.forsciint.2007.03.017
De Boer H, Blau S, Delabarde T, Hackman L (2018) The role of forensic anthropology in disaster victim identification (DVI): recent developments and future prospects. Forensic Sci Res 4(4):303–315. https://doi.org/10.1080/20961790.2018.1480460
Wong J, Oh A, Ohta E et al (2008) Validity and reliability of craniofacial anthropometric measurement of 3D digital photogrammetric images. Cleft Palate Craniofac J 45(3):232–239. https://doi.org/10.1597/06-175
Thali M, Braun M, Kneubuehl B, Brueschweiler W, Vock P, Dirnhofer R (2000) Improved vision in forensic documentation: forensic 3D/CAD-supported photogrammetry of bodily injury external surfaces combined with volumetric radiologic scanning of bodily injury internal structures provides more investigative leads and stronger forensic evidence. 28th AIPR workshop: 3D visualization for data exploration and decision making. https://doi.org/10.1117/12.384876
Villa C (2016) Forensic 3D documentation of skin injuries. Int J Legal Med 131(3):751–759. https://doi.org/10.1007/s00414-016-1499-9
Koller S, Ebert L, Martinez R, Sieberth T (2019) Using virtual reality for forensic examinations of injuries. Forensic Sci Int 295:30–35. https://doi.org/10.1016/j.forsciint.2018.11.006
Edelman G, Aalders M (2018) Photogrammetry using visible, infrared, hyperspectral and thermal imaging of crime scenes. Forensic Sci Int 292:181–189. https://doi.org/10.1016/j.forsciint.2018.09.025
Brüschweiler W, Braun M, Dirnhofer R, Thali M (2003) Analysis of patterned injuries and injury-causing instruments with forensic 3D/CAD supported photogrammetry (FPHG): an instruction manual for the documentation process. Forensic Sci Int 132(2):130–138. https://doi.org/10.1016/s0379-0738(03)00006-9
Osman M, Tahar K (2016) 3D accident reconstruction using low-cost imaging technique. Adv Eng Softw 100:231–237. https://doi.org/10.1016/j.advengsoft.2016.07.007
Urbanová P, Hejna P, Jurda M (2015) Testing photogrammetry-based techniques for three-dimensional surface documentation in forensic pathology. Forensic Sci Int 250:77–86. https://doi.org/10.1016/j.forsciint.2015.03.005
Smith D, Limbird K, Hoffman J (2002) Identification of human skeletal remains by comparison of bony details of the cranium using computerized tomographic (CT) scans. J Forensic Sci 47(5):15499J. https://doi.org/10.1520/jfs15499j
Aung S, Ngim R, Lee S (1995) Evaluation of the laser scanner as a surface measuring tool and its accuracy compared with direct facial anthropometric measurements. Br J Plast Surg 48(8):551–558. https://doi.org/10.1016/0007-1226(95)90043-8
Farkas L, Deutsch C (1996) Anthropometric determination of craniofacial morphology. Am J Med Genet 65(1):1–4. https://doi.org/10.1002/ajmg.1320650102
Linden O, Baratta V, Gonzalez J et al (2018) Surgical correction of metopic craniosynostosis: a 3-D photogrammetric analysis of cranial vault outcomes. Cleft Palate Craniofac J 56(2):231–235. https://doi.org/10.1177/1055665618775729
Del Cesta F (2015) Computer vision techniques for the reconstruction of road accidents. http://www.softwarericostruzioneincidentistradali.it/tecnica/11-tecniche-di-computer-vision-per-la-ricostruzione-degli-incidenti-stradali.html. Accessed 30 June 2020
Agisoft Metashape User Manual: Professional Edition, Version 1.5 (2019) Agisoft LLC https://www.agisoft.com/. Accessed 30 June 2020
Buck U, Buße K, Campana L, Schyma C (2017) Validation and evaluation of measuring methods for the 3D documentation of external injuries in the field of forensic medicine. Int J Legal Med 132(2):551–561. https://doi.org/10.1007/s00414-017-1756-6
Fahrni S, Campana L, Dominguez A, Uldin T, Dedouit F, Delémont O, Grabherr S (2017) CT-scan vs. 3D surface scanning of a skull: first considerations regarding reproducibility issues. Forensic Sci Res 2(2):93–99. https://doi.org/10.1080/20961790.2017.1334353
Farkas L (1994) Anthropometry of the head and face, 2nd edn. Raven Press, New York
Krecioch J (2014) Human craniofacial variation and dental anomalies: an anthropological investigation into the relationship between human craniometric variation and the expression of orthodontic anomalies. Anchor Academic Publishing, Hamburg
Gordon G (2011) An investigation into the accuracy and reliability of skull-photo superimposition in a South African sample. Dissertation, University of Pretoria
El-Din Fawzy H (2019) Study the accuracy of digital close range photogrammetry technique software as a measuring tool. Alex Eng J 58(1):171–179. https://doi.org/10.1016/j.aej.2018.04.004
Thali M, Braun M, Brüschweiler W, Dirnhofer R (2000) Matching tire tracks on the head using forensic photogrammetry. Forensic Sci Int 113(1–3):281–287. https://doi.org/10.1016/s0379-0738(00)00234-6
Thali M, Braun M, Brueschweiler W, Dirnhofer R (2003) ‘Morphological imprint’: determination of the injury-causing weapon from the wound morphology using forensic 3D/CAD-supported photogrammetry. Forensic Sci Int 132(3):177–181. https://doi.org/10.1016/s0379-0738(03)00021-5
Thali M, Braun M, Dirnhofer R (2003) Optical 3D surface digitizing in forensic medicine: 3D documentation of skin and bone injuries. Forensic Sci Int 137(2–3):203–208. https://doi.org/10.1016/j.forsciint.2003.07.009
Thali M, Braun M, Markwalder T et al (2003) Bite mark documentation and analysis: the forensic 3D/CAD supported photogrammetry approach. Forensic Sci Int 135(2):115–121. https://doi.org/10.1016/s0379-0738(03)00205-6
Hunt C (2017) Developing an efficient method for generating facial reconstructions using photogrammetry and open source 3D/CAD software: a preliminary study. Dissertation, Murdoch University
Colwill S (2016) Low-cost crime scene mapping: reviewing emerging freeware, low-cost methods of 3D mapping and applying them to crime scene investigation and forensic evidence. Dissertation, Murdoch University
Ege A, Seker D, Tuncay I, Duran Z (2004) Photogrammetric analysis of the articular surface of the distal radius. J Int Med Res 32(4):406–410. https://doi.org/10.1177/147323000403200409
Lee M, Gerdau-Radonic K (2020) Variation within physical and digital craniometrics. Forensic Sci Int 306:110092. https://doi.org/10.1016/j.forsciint.2019.110092
Becker S, Dreßler J, Thiele K, Labudde D (2016) Gesichtsweichteilrekonstruktion mithilfe einer open-source software. Rechtsmedizin 26(2):83–89. https://doi.org/10.1007/s00194-015-0067-9
Lee W, Wilkinson C, Hwang H, Lee S (2015) Correlation between average tissue depth data and quantitative accuracy of forensic craniofacial reconstructions measured by geometric surface comparison method. J Forensic Sci 60(3):572–580. https://doi.org/10.1111/1556-4029.12726
Acknowledgements
The author would like to thank the Anatomy Department of Murdoch University for supplying two Bone Clone skull casts which were used in this research. Additionally, the author would like to acknowledge The Animal Hospital at Murdoch University for allowing us to use their CT scanner and the volunteers who took time out of their day to perform measurements of the samples.
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Rita Omari: Methodology, investigation, writing—original draft preparation and writing—review and editing
Cahill Hunt: Methodology, investigation, writing—review and editing and supervision
John Coumbaros: Conceptualization, writing—review and editing and supervision
Brendan Chapman: Conceptualization, formal analysis, resources, writing—review and editing and supervision
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Omari, R., Hunt, C., Coumbaros, J. et al. Virtual anthropology? Reliability of three-dimensional photogrammetry as a forensic anthropology measurement and documentation technique. Int J Legal Med 135, 939–950 (2021). https://doi.org/10.1007/s00414-020-02473-z
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DOI: https://doi.org/10.1007/s00414-020-02473-z