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Image Registration Based on Lifting Process: An Application to Digital Subtraction Radiography

机译:基于提升过程的图像配准:在数字减影X线摄影中的应用

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摘要

In this paper, a digital subtraction radiology scheme is presented based on a new method for the automatic registration of dental radiographs acquired with or without rigorous a priori standardization. The scheme is comprised of an automatic registration method and a subtraction process. The proposed registration method can be considered as an object-based registration method without imposing the prerequisite of image segmentation in order to detect the boundary of the objects of interest or the automatic detection of matching landmarks. This is achieved by augmenting the dimensionality of the problem from two-dimensional gray-level matching to three-dimensional surface matching using the process of lifting in combination with a surface-matching technique. The pseudo three-dimensional affine transformation that matches the lifted images incorporates advantageous characteristics including spatial alignment of the surfaces, anisotropic correction of brightness/contrast differences, and stable convergence of the similarity function to its optimal value. The performance of the proposed automatic registration method is assessed against a manual method based on the projective transformation. The qualitative and quantitative assessments of the experiments have shown advantageous performance of the proposed automatic registration method against the manual one. Finally, the proposed registration method has been further improved in terms of execution time by the implementation of a surface decimation process.
机译:在本文中,提出了一种基于新方法的数字减影放射学方案,该方法可以自动注册有或没有严格先验标准化的牙科X光片。该方案由自动注册方法和减法过程组成。所提出的配准方法可以被认为是基于对象的配准方法,而无需为了检测感兴趣对象的边界或自动检测匹配地标而强加图像分割的先决条件。这是通过使用提升过程与表面匹配技术相结合,将问题的维度从二维灰度匹配提高到三维表面匹配来实现的。与提升后的图像匹配的伪三维仿射变换具有一些有利的特性,包括表面的空间对齐,亮度/对比度差异的各向异性校正以及相似度函数稳定收敛至最佳值。相对于基于投影变换的手动方法,评估了建议的自动配准方法的性能。实验的定性和定量评估表明,提出的自动注册方法相对于手动方法具有优越的性能。最后,通过执行表面抽取过程,在执行时间方面进一步改进了所提出的配准方法。

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