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A User-Friendly Protocol for Mandibular Segmentation of CBCT Images for Superimposition and Internal Structure
Chenshuang Li1, Leanne Lin1, Zhong Zheng2,3
1Department of Orthodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Journal of Clinical Medicine
|January 6, 2021
Summary
This study presents an efficient and precise protocol for segmenting mandibles from cone-beam computed tomography (CBCT) images, enabling orthodontists to access internal structures for analysis.
Area of Science:
- Orthodontics
- Radiology
- Medical Imaging
Background:
- Cone-beam computed tomography (CBCT) is widely used in orthodontics.
- Existing mandibular segmentation and 3D superimposition methods require complex procedures.
- Software used is not specifically designed for orthodontic applications.
Purpose of the Study:
- To establish an orthodontist-friendly protocol for mandibular segmentation from CBCT images.
- To ensure the protocol maintains access to internal mandibular anatomic structures.
Main Methods:
- Utilized the
- sculpting tool
- in Dolphin 3D Imaging software for segmentation.
- Validated repeatability using volume matching in 3D Slicer with STL files.
- Exported DICOM files for internal structure analysis and voxel-based superimposition.
Main Results:
- Successfully segmented mandibles from all tested CBCT datasets.
- Volume matching showed high consistency between independent segmentations.
- Intraclass correlation coefficient (ICC) analysis confirmed protocol consistency.
- Voxel-based superimposition identified all American Board of Orthodontics-specified structures.
Conclusions:
- Developed an efficient and precise protocol for mandible segmentation from CBCT images.
- The protocol successfully retains access to internal mandibular structures.
- Facilitates precise internal structure analyses for orthodontic applications.
