CASTABILITY QUANTIFICATION BY IMAGE ANALYSIS

牙科合金优异的铸造性能对于牙科合金至关重要 一致地产生声音、良好贴合的铸造修复体，而无需 需要经常进行昂贵且耗时的重制。 网格的使用 评估浇铸性的监视器已变得越来越流行。 然而， 它们通常通过手动计数来评估，一种方法可以是 改进了。 该提案的目标是结合新 开发了具有完善的网格铸造的图像分析技术 监督制定“最先进”的评估系统，然后使用 该系统可量化 8 种流行的商业 PFM 中的可铸性变化 合金。 该研究将重点关注以下合金：Will-Ceram Y-2、 Cameo、Olympia、Will-Ceram W-1、Naturelle、Rexillium III、Lifecast 和 诺拉维克斯。 所有制造商推荐的烧成和铸造技术 将严格遵守，除了仅使用推荐的 烧毁温度和铸造温度也将使用 100oF 的变化 在研究中。 铸造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）一起开发 调查。 此外，所有样品都将通过普通的评估 手动计数（带放大）和两种方法的结果 进行统计比较。 提议的实验布局是三因素析因设计：8 （合金）x 3（铸造温度）x 3（烧毁温度）= 72 组。 每个条件将使用 N=10 的样本量。 方差分析和成对分析 对反正弦进行多重比较统计分析 通过图像分析以及手动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.