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Protocol for capturing 3D facial meshes for rhinoseptoplasty planning
Taíse Leitemperger Bertazzo1, Marcos Cordeiro D'Ornellas2
1Universidade Federal de Santa Maria (UFSM), Centro de Ciências da Saúde (CCS), Programa de Pós-Graduação Mestrado Profissional em Ciências da Saúde, Santa Maria, RS, Brazil.
Brazilian Journal of Otorhinolaryngology
|July 19, 2023
Summary
This study presents a reproducible 3D facial imaging protocol using photogrammetry and Blender software. The generated 3D models show good compatibility with CT scans, offering a valuable tool for surgical planning.
Area of Science:
- Medical Imaging
- Computer-Aided Surgery
- 3D Reconstruction
Background:
- Accurate 3D facial imaging is crucial for surgical planning and outcome assessment.
- Existing methods may be costly or inaccessible.
- Photogrammetry offers a potential low-cost alternative.
Purpose of the Study:
- To establish and execute a protocol for capturing 3D facial images using photogrammetry with Blender and OrtogOnBlender (OOB).
- To evaluate the compatibility of photogrammetry-derived 3D facial meshes with sinus CT scans.
Main Methods:
- A standardized photographic protocol was applied to 21 patients undergoing Rhinoseptoplasty.
- 3D facial meshes were generated using photogrammetry software (Blender with OOB).
- Compatibility was assessed by comparing photogrammetry meshes with CT-derived reference meshes.
Main Results:
- The protocol yielded compatible 3D facial meshes with mean distances <1.48 mm compared to CT scans.
- A higher number of photographs (Phase 3) resulted in superior mesh resolution.
- The method proved reproducible and feasible in a clinical setting.
Conclusions:
- The proposed photogrammetry protocol is a feasible and reproducible method for generating satisfactory 3D facial models.
- This technique shows potential as a tool for surgical planning and result comparison in procedures like Rhinoseptoplasty.
- Further validation is needed for its use in 3D anthropometry.
