A User-Friendly Protocol for Mandibular Segmentation of CBCT Images for Superimposition and Internal Structure Analysis

Loading...
Thumbnail Image
Penn collection
Departmental Papers (Dental)
Degree type
Discipline
Subject
CBCT
Mandible
Segmentation
Superimposition
adult
anatomical concepts
Article
cone beam computed tomography
controlled study
correlation coefficient
digital imaging and communications in medicine
human
image segmentation
mandible
orthodontist
structure analysis
three-dimensional imaging
young adult
Dentistry
Oral and Maxillofacial Surgery
Periodontics and Periodontology
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Li, Chenshuang
Lin, Leanne
Zheng, Zhong
Chung, Chun-Hsi
Contributor
Abstract

Background: Since cone-beam computed tomography (CBCT) technology has been widely adopted in orthodontics, multiple attempts have been made to devise techniques for mandibular segmentation and 3D superimposition. Unfortunately, as the software utilized in these methods are not specifically designed for orthodontics, complex procedures are often necessary to analyze each case. Thus, this study aimed to establish an orthodontist-friendly protocol for segmenting the mandible from CBCT images that maintains access to the internal anatomic structures. Methods: The “sculpting tool” in the Dolphin 3D Imaging software was used for segmentation. The segmented mandible images were saved as STL files for volume matching in the 3D Slicer to validate the repeatability of the current protocol and were exported as DICOM files for internal structure analysis and voxel-based superimposition. Results: The mandibles of all tested CBCT datasets were successfully segmented. The volume matching analysis showed high consistency between two independent segmentations for each mandible. The intraclass correlation coefficient (ICC) analysis on 20 additional CBCT mandibular segmentations further demonstrated the high consistency of the current protocol. Moreover, all of the anatomical structures for superimposition identified by the American Board of Orthodontics were found in the voxel-based superimposition, demonstrating the ability to conduct precise internal structure analyses with the segmented images. Conclusion: An efficient and precise protocol to segment the mandible while retaining access to the internal structures was developed on the basis of CBCT images. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2021-01-01
Journal title
Journal of Clinical Medicine
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection