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Multiobjective optimization framework for landmark measurement error correction in three-dimensional cephalometric tomography

机译:三维头颅断层扫描中地标测量误差校正的多目标优化框架

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摘要

The purpose of this study is to minimize errors that occur when using a four vs six landmark superimpositioning method in the cranial base to define the co-ordinate system. Cone beam CT volumetric data from ten patients were used for this study. Co-ordinate system transformations were performed. A co-ordinate system was constructed using two planes defined by four anatomical landmarks located by an orthodontist. A second co-ordinate system was constructed using four anatomical landmarks that are corrected using a numerical optimization algorithm for any landmark location operator error using information from six landmarks. The optimization algorithm minimizes the relative distance and angle between the known fixed points in the two images to find the correction. Measurement errors and co-ordinates in all axes were obtained for each co-ordinate system. Significant improvement is observed after using the landmark correction algorithm to position the final co-ordinate system. The errors found in a previous study are significantly reduced. Errors found were between 1 mm and 2 mm. When analysing real patient data, it was found that the 6-point correction algorithm reduced errors between images and increased intrapoint reliability. A novel method of optimizing the overlay of three-dimensional images using a 6-point correction algorithm was introduced and examined. This method demonstrated greater reliability and reproducibility than the previous 4-point correction algorithm.
机译:这项研究的目的是最大程度地减少在颅底中使用四对六标志性叠加方法定义坐标系时发生的错误。本研究使用了来自十名患者的锥形束CT体积数据。进行坐标系转换。使用由正畸医生定位的四个解剖学界标定义的两个平面构建坐标系。使用四个解剖学地标构建第二坐标系统,这些解剖学地标使用来自六个地标的信息的任何地标位置操作员错误的数值优化算法进行校正。优化算法将两个图像中已知固定点之间的相对距离和角度最小化,以找到校正值。对于每个坐标系,获得了所有轴上的测量误差和坐标。使用界标校正算法定位最终坐标系后,观察到了显着改善。先前研究中发现的错误已大大减少。发现的误差在1毫米至2毫米之间。分析实际患者数据时,发现6点校正算法可减少图像之间的误差并提高点内可靠性。介绍并研究了一种使用六点校正算法优化三维图像覆盖的新颖方法。与以前的4点校正算法相比,此方法具有更高的可靠性和可重复性。

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