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Automatic Evaluation of Crown Preparation Using Image Processing Techniques: A Substitute to Faculty Scoring in
Bahareh Tahani1, Abdolreza Rashno2, Hamed Haghighi3
1Department of Dental Public Health, Dental Research Center, Dental Research Institute, Isfahan University of Medical Sciences, Khorramabad, Iran.
Journal of Medical Signals and Sensors
|February 12, 2021
Summary
This study introduces an innovative image processing method for dental crown preparation analysis. The technique accurately measures preparation angles and segmentation, serving as a valuable educational tool for students.
Area of Science:
- Biomedical Engineering
- Dental Technology
- Image Processing
Background:
- A novel experimental method utilizing image processing for crown preparation analysis is presented.
- The system includes custom software and necessary instruments for detailed evaluation.
Purpose of the Study:
- To develop and validate an innovative method for quantitative and qualitative analysis of dental crown preparation.
- To assess the accuracy of image processing techniques in measuring preparation angles and volumes.
Main Methods:
- A specialized platform captured images of artificial teeth before and after preparation from multiple angles.
- Image registration, region segmentation (including hue, saturation, value color space transformation, edge detection, morphology, and contour extraction), and angle computation were performed.
- The method was validated on a dataset from Isfahan University of Medical Sciences.
Main Results:
- The proposed method achieved a mean absolute error of 7.17° in computing crown preparation angles compared to expert measurements.
- Segmentation accuracy, evaluated by Intersection over Union (IOU), ranged from 0.76 to 0.94, with an average IOU of 0.89.
Conclusions:
- The developed image processing method provides an accurate assessment of dental crown preparation.
- This technique can serve as an effective preclinical assessment tool for dental students to evaluate their crown preparation work against established standards.

