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A new method to measure the linear polymerization shrinkage of composites using a particle tracking method with computer vision

A new method to measure the linear polymerization shrinkage of composites using a particle tracking method with computer vision

Article information

Restor Dent Endod. 2010;35(3):180-187
Publication date (electronic) : 2010 May 31
doi : https://doi.org/10.5395/JKACD.2010.35.3.180
Department of Conservative Dentistry, School of Dentistry, Seoul National University, Seoul, Korea.
Correspondence to: In-Bog Lee. Department of Conservative Dentistry & Dental Research Institute, School of Dentistry, Seoul National University 275-1 Yoengeon-Dong, Jongno-Gu, Seoul, 110-786, Korea. Tel: 82-2-2072-3953, Fax: 82-2-2072-3859, inboglee@snu.ac.kr
Received 2010 April 22; Revised 2010 April 25; Accepted 2010 April 26.

Abstract

Since the introduction of restorative dental composites, their physical properties have been significantly improved. However, polymerization shrinkage is still a major drawback. Many efforts have been made to develop a low shrinking composite, and silorane-based composites have recently been introduced into the market. In addition, many different methods have been developed to measure the polymerization shrinkage.

In this study, we developed a new method to measure the linear polymerization shrinkage of composites without direct contact to a specimen using a particle tracking method with computer vision. The shrinkage kinetics of a commercial silorane-based composite (P90) and two conventional methacrylate-based composites (Z250 and Z350) were investigated and compared. The results were as follows:

  1. The linear shrinkage of composites was 0.33-1.41%. Shrinkage was lowest for the silorane-based (P90) composite, and highest for the flowable Z350 composite.

  2. The new instrument was able to measure the true linear shrinkage of composites in real time without sensitivity to the specimen preparation and geometry.

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Article information Continued

Figure 1

Schematic diagram of computer vision system.

Figure 2

Specimen preparation for linear shrinkage measurement using computer vision.

Figure 3

A captured original image (left) and a binarized image (right) after filtering. The position of an object is determined by the area center method.

Figure 4

Algorithm to get the coordinate of an interesting particle from an image.

Figure 5

Linear shrinkage curves of composites as a function of time.

Figure 6

Linear shrinkage of composites at 10 min after curing.

Table 1

Composite resins used in this study.

Table 1

Table 2

Linear polymerization shrinkage measured and calculated volume shrinkage of composites at 10 min.

Table 2

Number in parenthesis is standard deviation.

Calculated volume shrinkage = 3× measured linear shrinkage.