背景：日常图像质量评估涉及大型数据集，这些数据集消耗大量时间和精力。本研究旨在与目前的手动计算相比，评估牙科锥形束计算机断层扫描（CBCT）系统在二维（2D）全景成像模式下进行图像失真分析的拟议自动计算器。
方法：使用PlanmecaProMax3DMidCBCT单元的全景模式扫描了球形体模（Planmeca，赫尔辛基,芬兰)在临床实践中使用标准暴露设置(60kV，2mA,和最大视野）。在MATLAB平台上开发了一种自动计算器算法。测量了与全景图像失真相关的两个参数，例如球的直径以及中间和第十球之间的距离。使用PlanmecaRomexis和ImageJ软件将这些自动测量与手动测量进行比较。
结果：结果显示，与手动测量（Romexis为5.00，ImageJ软件为5.12mm）相比，建议的自动计算器（范围为3.83mm）的距离差测量偏差较小。在自动和手动测量之间,平均测量的球直径存在显著差异(p<0.05)。对于球直径测量，自动测量与手动测量之间存在中度正相关（Romexis和ImageJ的r=0.6024和r=0.6358，分别)。然而,使用手动方法自动测量距离差之间存在负相关（对于Romexis和ImageJ，r=-0.3484和r=-0.3494，分别)。与参考值相比，球直径的自动测量和ImageJ测量之间具有良好的近似值。
结论：结论：与当前的手动方法相比，所提出的自动计算器为牙科CBCT成像系统的牙科全景模式下的日常图像质量测试提供了更快的方法，该方法具有准确且可接受的结果。
结论：在牙科CBCT成像系统的牙科全景模式的常规图像质量评估中，建议使用自动计算器对体模图像进行图像失真分析，这可能涉及对大型图像数据集的分析。它在时间和准确性方面提供了常规图像质量实践的改进。
The daily image quality assessment involves large datasets that consume a lot of time and effort. This
study aims to evaluate a proposed automated calculator for image distortion analysis in 2-dimensional (2D) panoramic imaging mode for a dental cone beam computed tomography (CBCT) system in comparison with present manual calculations.
A ball phantom was scanned using panoramic mode of the Planmeca ProMax 3D Mid CBCT unit (Planmeca, Helsinki, Finland) with standard exposure settings used in clinical practice (60 kV, 2 mA, and maximum FOV). An automated calculator algorithm was developed in MATLAB platform. Two parameters associated with panoramic image distortion such as balls diameter and distance between middle and tenth balls were measured. These automated measurements were compared with manual measurement using the Planmeca Romexis and ImageJ software.
The findings showed smaller deviation in distance difference measurements by proposed automated calculator (ranged 3.83 mm) as compared to manual measurements (ranged 5.00 for Romexis and 5.12 mm for ImageJ software). There was a significant difference (p < 0.05) on the mean measured ball diameter between automated and manual measurement. For ball diameter measurement, there is a moderate positive correlation between automated measurement with the manual measurements (r = 0.6024 and r = 0.6358 for Romexis and ImageJ, respectively). However, there is a negative correlation between automated measurement for the distance difference with manual methods (r = -0.3484 and r = -0.3494 for Romexis and ImageJ, respectively). There was a good approximation between automated and ImageJ measurement of ball diameter in comparison to reference value.
In conclusion, the proposed automated calculator provides faster method with an accurate and acceptable results for daily-basis image quality test in dental panoramic mode of a Dental CBCT imaging system in comparison to current manual method.
An automated calculator is recommended for image distortion analysis on phantom images in routine image quality assessment for dental panoramic mode of Dental CBCT imaging system that may involve analysis of large image datasets. It offers improvement in routine image quality practice in term of time and accuracy.
