Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Ankara University, Ankara, Turkey.
Medical Design Application and Research Center (MEDITAM), Ankara University, Ankara, Turkey.
Proc Inst Mech Eng H. 2023 Sep;237(9):1082-1090. doi: 10.1177/09544119231190447. Epub 2023 Aug 1.
This study was aimed at quantifying artifacts from zygoma implants in cone-beam computed tomography (CBCT) images using different exposure parameters. Two cadaver heads, one with two zygoma implants on each side and the other for control, were scanned using 18 different exposure parameters. Quantitative analysis was performed to evaluate the hypodense and hyperdense artifact percentages calculated as the percentage of the area. Hyperdense artifacts and hypodense artifacts were detected, followed by the calculation of the hyperdense and hypodense artifact percentages in the image. In the qualitative analysis of the artifacts, the scores used were as follows: absence (0), moderate presence (1), or high presence (2) for hypodense halos, thin hypodense lines, and hyperdense lines. Artifact analysis was performed qualitatively and quantitatively using the post-hoc Tukey and Two-way ANOVA tests. As a result, in the qualitative analyses, zygoma implants showed a significant difference compared to the control group with regard to hyperdense and hypodense artifacts ( < 0.05). There was a significant difference between the means according to the FOV size arithmetic averages ( < 0.05). In terms of voxel size, the difference was found to be significant, where 400 microns showed the highest hypodense artifact while 200 microns showed the lowest hypodense artifact. In conclusion, hypodense and hyperdense artifacts were significantly higher in cadavers with zygoma implants than in controls. As FOV and voxel size increase, more hypodense artifacts are produced by zygoma implants so smaller FOV and voxel sizes should be used to prevent poor image quality of adjacent teeth.
本研究旨在使用不同的曝光参数量化 CBCT 图像中颧骨种植体伪影。将两个尸体头颅，一个每侧有两个颧骨植入物，另一个作为对照，使用 18 种不同的曝光参数进行扫描。通过定量分析评估计算的低密和高密伪影百分比，其定义为面积百分比。检测到高密伪影和低密伪影，然后计算图像中的高密和低密伪影百分比。在伪影的定性分析中，使用以下评分：低密晕圈、细低密线和高密线的缺失（0）、中度存在（1）或高度存在（2）。使用事后 Tukey 和双向 ANOVA 检验对伪影进行定性和定量分析。结果，在定性分析中，与对照组相比，颧骨植入物在高密和低密伪影方面存在显著差异（ < 0.05）。根据 FOV 尺寸算术平均值存在显著差异（ < 0.05）。就体素尺寸而言，差异显著，其中 400 微米表现出最高的低密伪影，而 200 微米表现出最低的低密伪影。总之，颧骨植入物的尸体中的低密和高密伪影明显高于对照组。随着 FOV 和体素尺寸的增加，颧骨植入物产生的低密伪影越多，因此应使用较小的 FOV 和体素尺寸，以防止邻牙图像质量变差。
