Related Experiment Video
Updated: Jun 22, 2026
08:45
Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
Published on: July 21, 2014
Nondestructive quantification of leakage at the tooth-composite interface and its correlation with material
Jirun Sun1, Rui Fang, Nancy Lin
1Polymers Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Biomaterials
|June 12, 2009
Summary
This study introduces an automated 3D imaging analysis to quantify tooth-composite leakage. Results show leakage correlates with polymerization stress, aiding prediction of bonding durability.
Area of Science:
- Dental Materials Science
- Biomaterials Engineering
- Nanotechnology
Background:
- Current methods for assessing tooth-composite interface leakage are limited to qualitative or semi-quantitative measures.
- Previous research established a 3D imaging technique for visualizing leakage at the tooth-composite interface in model cavities.
- Developing quantitative methods is crucial for accurate assessment of restoration integrity.
Purpose of the Study:
- To develop and validate an automated image analysis program for quantifying leakage volume and area at the tooth-composite interface.
- To investigate the relationship between quantified leakage and key material performance parameters.
- To confirm the predictive value of polymerization stress for bonding durability.
Main Methods:
- An automated program was developed to quantify 3D leakage from imaging data.
- Leakage quantification was validated against traditional dye penetration methods.
- Experimental composites with varying filler contents were used to assess material property correlations.
- Polymerization stress, shrinkage, and strain rate were measured for experimental composites.
Main Results:
- The automated 3D image analysis program accurately quantified leakage in terms of area and volume.
- 3D leakage distribution showed excellent agreement with dye penetration visualization.
- A strong correlation was found between the magnitude of leakage and polymerization stress.
- Material properties like filler content influenced leakage, with polymerization stress being a key factor.
Conclusions:
- Automated 3D imaging and image analysis provide a robust quantitative method for assessing tooth-composite leakage.
- Polymerization stress is a reliable predictor of bonding durability and leakage magnitude.
- This approach offers valuable insights into the relationship between material properties and interfacial integrity in dental restorations.
