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Protocol for capturing 3D facial meshes for rhinoseptoplasty planning
OBJECTIVES: To present and execute a protocol for the capture of 3D facial images using photogrammetry through the open access software Blender and its add-on OrtogOnBlender (OOB) and to evaluate the compatibility of the 3D meshes generated with Computed tomography (CT) of the sinuses. METHODS: Indi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372377/ https://www.ncbi.nlm.nih.gov/pubmed/37467657 http://dx.doi.org/10.1016/j.bjorl.2023.101289 |
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author | Bertazzo, Taíse Leitemperger D’Ornellas, Marcos Cordeiro |
author_facet | Bertazzo, Taíse Leitemperger D’Ornellas, Marcos Cordeiro |
author_sort | Bertazzo, Taíse Leitemperger |
collection | PubMed |
description | OBJECTIVES: To present and execute a protocol for the capture of 3D facial images using photogrammetry through the open access software Blender and its add-on OrtogOnBlender (OOB) and to evaluate the compatibility of the 3D meshes generated with Computed tomography (CT) of the sinuses. METHODS: Individuals >18 years old, candidates for Rhinoseptoplasty in a tertiary hospital, were submitted to a photographic session to perform the standardized protocol. In the session, divided into 3 phases, sequential photos were taken for processing the photogrammetry in the OOB and producing 3D meshes of the face. The photogrammetry reconstructions were compared with the reference mesh of the soft tissue surface of the Sinus CT scan to assess compatibility between them. RESULTS: 21 patients were included, 67% female. 3 photogrammetry meshes and 1 CT reference mesh were generated, which demonstrated matching compatibility, as most of the mean distances between cloud points were <1.48 mm. Phase 3 of the session with the highest number of photos (54.36 ± 15.05) generated the most satisfactory mesh with the best resolution. CONCLUSIONS: The proposed protocol is reproducible and feasible in clinical practice, generated satisfactory 3D meshes of the face, being a potential tool for surgical planning and comparison of results. For the implementation of photogrammetry for use in 3D anthropometry, it is necessary to validate this method. LEVEL OF EVIDENCE: 3. OCEBM Levels of Evidence Working Group. "The Oxford 2011 Levels of Evidence". Oxford Centre for Evidence-Based Medicine. http://www.cebm.net/index.aspx?o=5653 |
format | Online Article Text |
id | pubmed-10372377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103723772023-07-28 Protocol for capturing 3D facial meshes for rhinoseptoplasty planning Bertazzo, Taíse Leitemperger D’Ornellas, Marcos Cordeiro Braz J Otorhinolaryngol Original Article OBJECTIVES: To present and execute a protocol for the capture of 3D facial images using photogrammetry through the open access software Blender and its add-on OrtogOnBlender (OOB) and to evaluate the compatibility of the 3D meshes generated with Computed tomography (CT) of the sinuses. METHODS: Individuals >18 years old, candidates for Rhinoseptoplasty in a tertiary hospital, were submitted to a photographic session to perform the standardized protocol. In the session, divided into 3 phases, sequential photos were taken for processing the photogrammetry in the OOB and producing 3D meshes of the face. The photogrammetry reconstructions were compared with the reference mesh of the soft tissue surface of the Sinus CT scan to assess compatibility between them. RESULTS: 21 patients were included, 67% female. 3 photogrammetry meshes and 1 CT reference mesh were generated, which demonstrated matching compatibility, as most of the mean distances between cloud points were <1.48 mm. Phase 3 of the session with the highest number of photos (54.36 ± 15.05) generated the most satisfactory mesh with the best resolution. CONCLUSIONS: The proposed protocol is reproducible and feasible in clinical practice, generated satisfactory 3D meshes of the face, being a potential tool for surgical planning and comparison of results. For the implementation of photogrammetry for use in 3D anthropometry, it is necessary to validate this method. LEVEL OF EVIDENCE: 3. OCEBM Levels of Evidence Working Group. "The Oxford 2011 Levels of Evidence". Oxford Centre for Evidence-Based Medicine. http://www.cebm.net/index.aspx?o=5653 Elsevier 2023-07-05 /pmc/articles/PMC10372377/ /pubmed/37467657 http://dx.doi.org/10.1016/j.bjorl.2023.101289 Text en © 2023 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Bertazzo, Taíse Leitemperger D’Ornellas, Marcos Cordeiro Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title | Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title_full | Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title_fullStr | Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title_full_unstemmed | Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title_short | Protocol for capturing 3D facial meshes for rhinoseptoplasty planning |
title_sort | protocol for capturing 3d facial meshes for rhinoseptoplasty planning |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372377/ https://www.ncbi.nlm.nih.gov/pubmed/37467657 http://dx.doi.org/10.1016/j.bjorl.2023.101289 |
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