CASTABILITY QUANTIFICATION BY IMAGE ANALYSIS

牙科合金具有良好的铸造性能，这对 持续生产声音良好、适配良好的铸造修复体 需要频繁、昂贵和耗时的翻拍。浅谈网格的使用 评估浇注性的监测器已经变得越来越受欢迎。然而， 它们通常通过手动计数进行评估，方法可能是 改进后的。这项建议的目标是将新的 利用成熟的网格铸件开发了图像分析技术 监视器产生一个“最先进的”评估系统，然后使用 该系统量化了8种流行的商用烤瓷烤瓷的铸造性能变化 合金。这项研究将集中在以下合金上：Will-Ceram Y-2， 客串，奥林匹亚，Will-Ceram W-1，Naturelle，Rexillium III，Lifecast和 诺拉维克斯。所有制造商推荐的烧损和铸造技术 将严格遵守，除了仅使用推荐的 烧毁-和浇注温度，也将使用100华氏度的变化 在书房里。 CAST监视器将通过面积分数成像技术进行评估 与其他仪器(PIAS系统)一起在以前的 调查。此外，所有样品都将通过普通评估 人工计数(带放大)和两种方法的结果 在统计学上进行比较。 试验设计采用三因素析因设计：8 (合金)x 3(浇注温度)x 3(烧毁温度)=72套。 对于每个条件，将使用N=10的样本大小。方差分析和成对分析 将对Arc Sin进行多个比较统计分析 通过图像分析和人工计数获得的转换数据。

Excellent castability characteristics in dental alloys are critical for the consistent production of sound, well fitting cast restorations without the necessity of frequent costly and time consuming remakes. The use of mesh monitors to evaluate castability has become increasingly popular. However, they are usually evaluated by manual counting, a method with could be improved upon. The objective of this proposal is to combine newly developed image analysis techniques with the well established mesh casting monitor to produce a "state of the art" evaluation system and to then use this system to quantify castability variations in 8 popular commercial PFM alloys. The study will focus on the following alloys: Will-Ceram Y-2, Cameo, Olympia, Will-Ceram W-1, Naturelle, Rexillium III, Lifecast and Noravex. All manufacturers' recommended burnout and casting techniques will be strictly adhered to except that besides using only the recommended burnout-and casting temperatures, variations of + 100oF will also be used in the study. The cast monitors will be evaluated by area fraction imaging techniques developed with other instrumentation (PIAS System) in a previous investigation. In addition, all samples will be evaluated by ordinary manual counting (with magnification) and the results of two methods compared statistically. The proposed experimental layout is a three factor factorial design: 8 (alloys) x 3 (casting temperatures) x 3 (burnout temperatures) = 72 sets. A sample size of N=10 will be used for each condition. ANOVA and pairwise multiple comparison statistical analyses will be performed on the Arc Sin transformed data obtained by image analysis as well as by manual counting.