Ciocca Leonardo, Gallina Ilaria, Navacchia Eugenio, Baldissara Paolo, Scotti Roberto
Department of Oral Science, University of Bologna, via S. Vitale 59, 40138 Bologna, Italy.
Comput Biol Med. 2007 Mar;37(3):277-86. doi: 10.1016/j.compbiomed.2006.01.009. Epub 2006 Apr 18.
Conventional methods to estimate the number of dentinal tubules cannot be considered reliable and repeatable, because results depends on the operator outlining of the tubules contours. In this study, we propose a totally automated computerized analysis technique to evaluate dentinal tubules and their surface area. The comparison test of these conventional with a semi-automatic methods shows that the automated analysis allowed a reliable identification and numbering of dentinal tubules, by means of high-quality images. No statistically significant difference exists in the number of tubules and the total tubule surface area between the control and test groups.
传统的估计牙本质小管数量的方法不能被认为是可靠且可重复的,因为结果取决于操作人员对小管轮廓的勾勒。在本研究中,我们提出了一种完全自动化的计算机分析技术来评估牙本质小管及其表面积。这些传统方法与半自动方法的对比测试表明,通过高质量图像,自动化分析能够可靠地识别牙本质小管并对其进行计数。对照组和测试组之间在小管数量和小管总表面积方面不存在统计学上的显著差异。