Related Experiment Video
Updated: Aug 28, 2025
09:10
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
1.8K
Evaluation of 3D Modeling Workflows Using Dental CBCT Data for Periodontal Regenerative Treatment
Styliani Verykokou1, Charalabos Ioannidis1, Christos Angelopoulos2
1Laboratory of Photogrammetry, School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, 15780 Athens, Greece.
Journal of Personalized Medicine
|September 23, 2022
Summary
Cone beam computed tomography (CBCT) enables 3D modeling of periodontal tissues. This study optimizes CBCT data processing for designing personalized 3D scaffolds for periodontal regeneration, improving treatment outcomes.
Area of Science:
- Biomaterials Science
- Dental Imaging
- Periodontology
Background:
- Cone beam computed tomography (CBCT) is prevalent in dentistry, with prior research exploring its use in periodontal disease treatment.
- Advanced segmentation and 3D mesh cleaning techniques exist, but their application to dental CBCT for precise periodontal tissue modeling is limited.
- Simple thresholding methods for 3D oral cavity modeling from CBCT data lack accuracy, highlighting a gap in specialized semi-automated techniques.
Purpose of the Study:
- To address the research gap in utilizing CBCT data for accurate 3D hard tissue modeling of periodontitis patients.
- To evaluate segmentation and 3D modeling workflows using dental CBCT data for designing 3D scaffolds for periodontal regeneration.
- To establish an optimal and efficient methodology for creating 3D models of teeth and alveolar bone for personalized periodontal treatment.
Main Methods:
- Evaluation of segmentation and 3D modeling workflows using dental CBCT data from a periodontitis patient.
- Comparison of 3D models generated through various experimental approaches to identify the most satisfactory results.
- Utilizing existing software tools for semi-automated thresholding and 3D model editing.
Main Results:
- Demonstration of effective segmentation and 3D modeling workflows for dental CBCT data in periodontitis patients.
- Identification of optimal methods for generating accurate 3D models of teeth and alveolar bone.
- Successful creation of a basis for generating personalized, bioabsorbable 3D printed scaffolds for periodontal regeneration.
Conclusions:
- An optimal and efficient methodology for 3D modeling of teeth and alveolar bone from dental CBCT data has been established.
- This methodology facilitates the design of personalized 3D scaffolds for periodontal regeneration, addressing a critical need in periodontitis treatment.
- The findings contribute to advancing the application of CBCT technology and 3D modeling in personalized periodontal therapy.
