Department of Oral Diagnosis, Area of Oral Radiology, Piracicaba Dental School, University of Campinas, Piracicaba, Sao Paulo, Brazil.
Department of Oral Diagnosis, Area of Oral Radiology, Piracicaba Dental School, University of Campinas, Piracicaba, Sao Paulo, Brazil.
J Endod. 2017 Dec;43(12):2108-2111. doi: 10.1016/j.joen.2017.07.024. Epub 2017 Oct 21.
Micro-computed tomography (μCT) is an imaging modality of growing application in endodontic research because of its nondestructive technology that enables visualization at the micrometer level. In the presence of high-density material, images acquired with μCT may present artifacts. Thus, the aim of this study was to evaluate subjectively and objectively the influence of artifact reduction tools available for μCT image reconstruction to determine whether their use can influence endodontic research outcomes.
Ten teeth were scanned in a μCT device, and these images were reconstructed by applying 13 protocols of artifact reduction tools, combining ring artifact reduction (RAR) and beam-hardening artifact reduction (BAR). Images were assessed subjectively (observer's preference) and objectively (root canal surface area and volume). Observer's preference for RAR and BAR protocols was tested by χ. Analysis of variance was used to compare volumes and surface area of root canals on different protocols. Intraobserver and interobserver reproducibility was calculated by the weighted kappa test.
There was no preference for a particular protocol for BAR (P = .91) or RAR (P = .80). There were no statistically significant differences for volume (P = .999) or surface area (P = .972) of root canals for all protocols.
To evaluate root canal volume and root canal surface area, artifact reduction tools applied to μCT images can be used according to the observer's visual preference without influence on objective image analysis.
微计算机断层扫描(μCT)是一种在牙髓研究中应用日益广泛的成像方式,因为其无损技术能够实现微米级别的可视化。在高密度材料存在的情况下,μCT 获得的图像可能会出现伪影。因此,本研究旨在主观和客观评估可用于 μCT 图像重建的减少伪影工具的影响,以确定其使用是否会影响牙髓研究结果。
10 颗牙齿在 μCT 设备中进行扫描,这些图像通过应用 13 种减少伪影工具的协议进行重建,结合环形伪影减少(RAR)和束硬化伪影减少(BAR)。通过 χ 检验评估图像的主观(观察者偏好)和客观(根管表面积和体积)。通过 χ 检验测试 RAR 和 BAR 协议的观察者偏好。通过方差分析比较不同协议下根管的体积和表面积。通过加权 kappa 检验计算观察者内和观察者间的可重复性。
BAR(P =.91)或 RAR(P =.80)的特定协议没有偏好。对于所有协议,根管体积(P =.999)或表面积(P =.972)均无统计学差异。
为了评估根管体积和根管表面积,可以根据观察者的视觉偏好使用应用于 μCT 图像的减少伪影工具,而不会影响客观图像分析。