首页> 外文会议>Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE >An automatic registration-fusion scheme based on similarity measures: an application to dental imaging
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An automatic registration-fusion scheme based on similarity measures: an application to dental imaging

机译:基于相似性度量的自动配准融合方案:在牙科影像学中的应用

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The novel automatic registration-fusion scheme utilises the geometrical configuration between the X-ray source, the CCD sensor and the target tissue using the appropriate geometric transformations, as well as the calculation of similarity measures between two dental radiographic images to be registered. Moreover, a fusion process has been developed to combine information from registered dental images. Result on clinical data reveals the advantageous performance of the proposed automatic registration method compared to the manual one using an independent evaluation criterion such as the mutual information criterion. Furthermore, the automatic registration approach outperforms despite the fuzzy dental boundaries and the lack of characteristic edges of the radiographic images. These preliminary findings may be used in order to establish the use of the proposed automatic method relieving the expert from the tedious and time-consuming task of defining analogous markers between the two radiographic images.
机译:新颖的自动配准融合方案利用适当的几何变换利用X射线源,CCD传感器和目标组织之间的几何构型,以及计算要配准的两个牙科X射线图像之间的相似性度量。此外,已经开发出融合过程以结合来自已登记牙齿图像的信息。临床数据结果表明,与使用诸如互信息标准之类的独立评估标准的手动注册方法相比,该自动注册方法具有优越的性能。此外,尽管牙齿边界模糊并且放射线图像的特征边缘不足,但自动配准方法的性能仍优于其他方法。可以使用这些初步发现来建立建议的自动方法的使用,从而使专家摆脱繁琐而费时的任务,即在两个射线照相图像之间定义类似标记。

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