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A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
Published on: January 28, 2020
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Automatic segmentation of mandible in panoramic x-ray
Amir Hossein Abdi1, Shohreh Kasaei1, Mojdeh Mehdizadeh2
1Sharif University of Technology , Department of Computer Engineering, Azadi Ave., Tehran 11155-9517, Iran.
Journal of Medical Imaging (Bellingham, Wash.)
|November 21, 2015
Summary
This study introduces an automated method for segmenting the mandible in panoramic x-rays, crucial for dental diagnostics and record-keeping. The fast and accurate algorithm demonstrates robust performance, aiding in improved dental imaging analysis.
Area of Science:
- Dentistry
- Medical Imaging
- Computer Vision
Background:
- Panoramic x-rays are standard in dentistry.
- Accurate segmentation of anatomical structures is vital for diagnosis and dental record management.
Purpose of the Study:
- To present a fast and accurate automated method for mandible segmentation in panoramic x-rays.
- To improve the efficiency and precision of dental record registration and diagnostic processes.
Main Methods:
- A four-step algorithm involving horizontal integral projections for superior border extraction.
- Modified Canny edge detection and morphological operators for inferior border extraction.
- Contour tracing and atlas-based template matching for ramus and process segmentation.
Main Results:
- The algorithm was tested on 95 panoramic x-rays.
- Evaluated against expert manual segmentations, the method proved robust.
- Achieved an average performance of [Formula: see text] in Dice similarity, specificity, and sensitivity.
Conclusions:
- The proposed automated segmentation method is effective for mandibles in panoramic x-rays.
- The approach offers a reliable tool for enhancing dental diagnostic and record-keeping workflows.
- The algorithm's robustness and accuracy support its clinical applicability.
