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Novel information theory based method for superimposition of lateral head radiographs and cone beam computed tomography images

机译:基于新型信息论的侧头射线照相与锥形束计算机断层摄影图像叠加方法

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Objectives: The aim was to introduce a novel alignment criterion, focus mutual information (FMI), for the superimposition of lateral cephalometric radiographs and three dimensional (3D) cone beamcomputed images as well as the assessment of the alignment characteristics of the new method and comparison of the novel methodology with the region of interest (ROI) approach. Methods: Implementation of a FMI criterion-based methodology that only requires the approximate indication of stable structures in one single image. The robustness of the method was first addressed in a phantom experiment comparing the new technique with a ROI approach. Two consecutive cephalometric radiographs were then obtained, one before and one after functional twin block application. These images were then superimposed using alignment by FMI where the following were focused on, in several ways: (1) cranial base and acoustic meatus, (2) palatal plane and (3) mandibular symphysis. The superimposed images were subtracted and coloured. The applicability to cone beam CT (CBCT) is illustrated by the alignment of CBCT images acquired before and after craniofacial surgery. Results: The phantom experiment clearly shows superior alignment when compared to the ROI approach (Wilcoxon n 5 17, Z 5 23.290, and P 5 0.001), and robustness with respect to the choice of parameters (one-sample t-test n 5 50, t 5 212.355, and P 5 0.000). The treatment effects are revealed clearly in the subtraction image of wellaligned cephalometric radiographs. The colouring scheme of the subtraction image emphasises the areas of change and visualizes the remodelling of the soft tissue. Conclusions: FMI allows for cephalometry without tracing, it avoids the error inherent to the use of landmarks and the interaction of the practitioner is kept to a minimum. The robustness to focal distribution variations limits the influence of possible examiner inaccuracy.
机译:目标:目的是引入一种新的对准标准,焦点互信息(FMI),用于侧位头颅X线照片和三维(3D)锥形束计算图像的叠加,以及评估新方法的对准特性和比较感兴趣区域(ROI)方法的新颖方法论。方法:一种基于FMI标准的方法的实现,该方法仅需要在单个图像中近似指示稳定结构。该方法的鲁棒性首先在将新技术与ROI方法进行比较的幻像实验中得到解决。然后获得两张连续的头颅X线照片,分别在功能性双块阻滞应用之前和之后。然后,使用FMI对齐将这些图像叠加在一起,其中以下几种方式重点关注:(1)颅底和听觉耳道;(2)plane平面和(3)下颌骨联合。叠加的图像被减去并着色。锥面CT(CBCT)的适用性通过颅面外科手术前后采集的CBCT图像的对齐方式说明。结果:与ROI方法(Wilcoxon n 5 17,Z 5 23.290和P 5 0.001)相比,幻影实验清楚地显示了更好的对齐方式,以及在参数选择方面的稳健性(一次样本t检验n 5 50 ,t 5 212.355和P 5 0.000)。良好对准的头颅X线照片的减影清楚地显示了治疗效果。减法图像的着色方案强调变化的区域并可视化软组织的重塑。结论:FMI无需追踪即可进行头颅测量,它避免了使用地标所固有的错误,并使从业者的交互作用降至最低。焦点分布变化的鲁棒性限制了可能的检查员不准确的影响。

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