Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification

Anika Kofod Petersen; Andrew Hugh Forgie; Dorthe Arenholt Bindslev; Palle Villesen; Line Staun Larsen

doi:10.1038/s41598-024-63198-2

Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification

Bidragets oversatte titel: Automatisk fjernelse af blødt væv fra 3D-tandfotoscanninger; Et vigtigt skridt i automatisering af fremtidig retsmedicinsk odontologisk identifikation

Anika Kofod Petersen^*, Andrew Hugh Forgie, Dorthe Arenholt Bindslev, Palle Villesen, Line Staun Larsen

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Abstract

Potentialet af intraorale 3D-fotoscanninger i retsodontologisk identifikation er stort set uudforsket, selvom den høje detaljegrad kunne muliggøre automatisk sammenligning af ante mortem og post mortem tandsæt. Forskelle i blødtvævsforholdene mellem ante- og post mortem intraorale 3D-fotoscanninger kan forårsage tvetydige variationer, hvilket belaster den potentielle automatisering af sammenligningsprocessen og understreger behovet for at begrænse inddragelsen af blødt væv i tandlægesammenligningen. Fjernelsen af blødt væv skal kunne håndtere tandbuer med manglende tænder og intraorale 3D-fotoscanninger, der ikke stammer fra gipsmodeller. For at imødegå disse udfordringer har vi udviklet gitter-skæringsmetoden. Metoden er tilpasselig, hvilket muliggør detaljeret analyse ved hjælp af en lille gitterstørrelse og tilpasning af, hvor meget af det bløde væv der udelukkes fra den beskårne tandscanning. Ved test på 66 tandscanninger var gitter-skæringsmetoden i stand til at begrænse mængden af blødt væv uden at fjerne nogen tænder i 63/66 tandscanninger. De resterende 3 tandscanninger havde delvist frembrudte tredje molarer (visdomstænder), som blev fjernet af gitter-skæringsmetoden. Samlet set repræsenterer gitter-skæringsmetoden et vigtigt skridt mod automatisering af sammenligningsprocessen i retsodontologisk identifikation ved hjælp af intraorale 3D-fotoscanninger.

Bidragets oversatte titel	Automatisk fjernelse af blødt væv fra 3D-tandfotoscanninger; Et vigtigt skridt i automatisering af fremtidig retsmedicinsk odontologisk identifikation
Originalsprog	Engelsk
Artikelnummer	12421
Tidsskrift	Scientific Reports
Vol/bind	14
Antal sider	7
ISSN	2045-2322
DOI	https://doi.org/10.1038/s41598-024-63198-2
Status	Udgivet - maj 2024

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10.1038/s41598-024-63198-2Licens: CC BY

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title = "Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification",

abstract = "The potential of intraoral 3D photo scans in forensic odontology identification remains largely unexplored, even though the high degree of detail could allow automated comparison of ante mortem and post mortem dentitions. Differences in soft tissue conditions between ante- and post mortem intraoral 3D photo scans may cause ambiguous variation, burdening the potential automation of the matching process and underlining the need for limiting inclusion of soft tissue in dental comparison. The soft tissue removal must be able to handle dental arches with missing teeth, and intraoral 3D photo scans not originating from plaster models. To address these challenges, we have developed the grid-cutting method. The method is customisable, allowing fine-grained analysis using a small grid size and adaptation of how much of the soft tissues are excluded from the cropped dental scan. When tested on 66 dental scans, the grid-cutting method was able to limit the amount of soft tissue without removing any teeth in 63/66 dental scans. The remaining 3 dental scans had partly erupted third molars (wisdom teeth) which were removed by the grid-cutting method. Overall, the grid-cutting method represents an important step towards automating the matching process in forensic odontology identification using intraoral 3D photo scans.",

keywords = "3D scans, Automated comparison, Data science, Forensic odontology, IOS (intraoral scanner), Identification",

author = "{Kofod Petersen}, Anika and Forgie, {Andrew Hugh} and Bindslev, {Dorthe Arenholt} and Palle Villesen and {Staun Larsen}, Line",

year = "2024",

month = may,

doi = "10.1038/s41598-024-63198-2",

language = "English",

volume = "14",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification. / Kofod Petersen, Anika; Forgie, Andrew Hugh; Bindslev, Dorthe Arenholt et al.
I: Scientific Reports, Bind 14, 12421, 05.2024.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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T1 - Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification

AU - Kofod Petersen, Anika

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AU - Bindslev, Dorthe Arenholt

AU - Villesen, Palle

AU - Staun Larsen, Line

PY - 2024/5

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N2 - The potential of intraoral 3D photo scans in forensic odontology identification remains largely unexplored, even though the high degree of detail could allow automated comparison of ante mortem and post mortem dentitions. Differences in soft tissue conditions between ante- and post mortem intraoral 3D photo scans may cause ambiguous variation, burdening the potential automation of the matching process and underlining the need for limiting inclusion of soft tissue in dental comparison. The soft tissue removal must be able to handle dental arches with missing teeth, and intraoral 3D photo scans not originating from plaster models. To address these challenges, we have developed the grid-cutting method. The method is customisable, allowing fine-grained analysis using a small grid size and adaptation of how much of the soft tissues are excluded from the cropped dental scan. When tested on 66 dental scans, the grid-cutting method was able to limit the amount of soft tissue without removing any teeth in 63/66 dental scans. The remaining 3 dental scans had partly erupted third molars (wisdom teeth) which were removed by the grid-cutting method. Overall, the grid-cutting method represents an important step towards automating the matching process in forensic odontology identification using intraoral 3D photo scans.

AB - The potential of intraoral 3D photo scans in forensic odontology identification remains largely unexplored, even though the high degree of detail could allow automated comparison of ante mortem and post mortem dentitions. Differences in soft tissue conditions between ante- and post mortem intraoral 3D photo scans may cause ambiguous variation, burdening the potential automation of the matching process and underlining the need for limiting inclusion of soft tissue in dental comparison. The soft tissue removal must be able to handle dental arches with missing teeth, and intraoral 3D photo scans not originating from plaster models. To address these challenges, we have developed the grid-cutting method. The method is customisable, allowing fine-grained analysis using a small grid size and adaptation of how much of the soft tissues are excluded from the cropped dental scan. When tested on 66 dental scans, the grid-cutting method was able to limit the amount of soft tissue without removing any teeth in 63/66 dental scans. The remaining 3 dental scans had partly erupted third molars (wisdom teeth) which were removed by the grid-cutting method. Overall, the grid-cutting method represents an important step towards automating the matching process in forensic odontology identification using intraoral 3D photo scans.

KW - 3D scans

KW - Automated comparison

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KW - IOS (intraoral scanner)

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Automatic removal of soft tissue from 3D dental photo scans; an important step in automating future forensic odontology identification

Abstract

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