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A novel contour-based registration of lateral cephalogram and profile photograph

机译:基于小巧的Contour的侧脑膜图和型材照片

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摘要

A contour-based automatic registration method of lateral cephalograms and profile photographs is proposed to facilitate the accurate measurement of anteroposterior (AP) position of maxillary central incisors relative to the forehead. There are mainly three steps in the proposed method. First, a hierarchical contour detection algorithm is employed to obtain contours of forehead and nose in lateral cephalograms and profile photographs, respectively. Curve deviation around Nasion of Soft Tissue (Ns) is further corrected using an iterative polynomial curve fitting algorithm according to the characteristics of cephalograms. Second, the coarse registration is performed based on four landmark pairs using a routine least squares method for each image pair, and then the contours are roughly matched. Finally, the coarse registration is further refined by applying the coherent point drift (CPD) algorithm to all the contour points. Using image pairs of lateral cephalograms and profile photographs from 49 Chinese patients, we show that the proposed method achieves higher performance in terms of accuracy and robustness than the existing methods.
机译:提出了一种基于横向头像和型材照片的基于轮廓的自动登记方法,以便于相对于前额的上颌中央门牙的前后(AP)位置的准确测量。提出的方法主要有三个步骤。首先,采用分层轮廓检测算法来分别在横向头骨图和型材照片中获得前额和鼻子的轮廓。根据头部特征,进一步校正围绕软组织(NS)的曲线偏差。其次,基于四个地标对执行粗略配准,使用每个图像对的例程最小二乘法,然后粗略匹配轮廓。最后,通过将相干点漂移(CPD)算法应用于所有轮廓点来进一步改进粗略注册。使用来自49名中国患者的图像对和剖面照片,我们表明,该方法在比现有方法方面的准确性和鲁棒性方面实现了更高的性能。

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