The application and accuracy of feature matching on automated cephalometric superimposition

The application and accuracy of feature matching on automated cephalometric superimposition
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特征匹配在自动头影测量叠加中的应用及精度

DOI:
10.1186/s12880-020-00432-z
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发表时间:
2019-12
影响因子:
2.7
通讯作者:
Xu Tianmin
Xu Tianmin
中科院分区:
医学4区
文献类型:
--
作者:
Jiang Yiran;Song Guangying;Yu Xiaonan;Dou Yuanbo;Li Qingfeng;Liu Siqi;Han Bing;Xu Tianmin

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BackgroundThe本研究的目的是建立一个计算机辅助的自动化方法头影测量叠加和评估的准确性,这种方法的基础上徒手tracing.MethodsTwenty-eight对治疗前(T1)和治疗后(T2)的头影测量被选中。前颅底,上颌骨和下颌骨的结构叠加独立完成的三个操作员执行传统的手跟踪方法和计算机自动化使用的特征匹配算法。为了定量评估两种方法之间的差异,将手叠加图案数字化。在T2头影X线片自动和手动叠加到T1头影测量模板后,测量配对的自动和手动T2头影测量标志之间的标志距离。手重叠之间的operators.ResultsThe T2地标手之间的操作员之间的差异范围从0.61毫米到1.65毫米的三种类型的重叠跟踪的差异也calculated。结论计算机辅助头影测量重叠法的准确性优于传统的手描记法,为临床研究提供了有力的工具。
BackgroundThe aim of this study was to establish a computer-aided automated method for cephalometric superimposition and to evaluate the accuracy of this method based on free-hand tracing.MethodsTwenty-eight pairs of pre-treatment (T1) and post-treatment (T2) cephalograms were selected. Structural superimpositions of the anterior cranial base, maxilla and mandible were independently completed by three operators performing traditional hand tracing methods and by computerized automation using the feature matching algorithm. To quantitatively evaluate the differences between the two methods, the hand superimposed patterns were digitized. After automated and hand superimposition of T2cephalograms to T1cephalometric templates, landmark distances between paired automated and hand T2cephalometric landmarks were measured. Differences in hand superimposition among the operators were also calculated.ResultsThe T2landmark differences in hand tracing between the operators ranged from 0.61 mm to 1.65 mm for the three types of superimposition. There were no significant differences in accuracy between hand and automated superimposition (p> 0.05).ConclusionsComputer-aided cephalometric superimposition provides comparably accurate results to those of traditional hand tracing and will provide a powerful tool for academic research.
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