颅面结构的形态学分析

K. Cheng, Dai-Sha Chen, Wen-Hung Tin, Yen-Ting Chen, Jia-Kuang Liu, C. Kuo
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引用次数: 1

摘要

本文的目的是表征颅面结构的形态学信息。首先,利用图像处理技术提取头颅图像的形态学特征参数;然后,基于这些参数,使用K-means方法对颅面结构形态学进行分类。然后,分析了每个类别的Go、Po、N、Me等四个形态学相关标志。在本研究中,对50种示踪进行了形态学分析。根据实验结果,将颅面结构分为6类。每个集群分别有4个映像、8个映像、10个映像、7个映像、13个映像和8个映像。地标Go、Po、S、N、Me的空间分布范围均在4mm以内。
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The Morphological Analysis of Craniofacial Structure
The purpose of this paper is to characterize the morphological information of craniofacial structure. Firstly, the morphological feature parameters of cephalometric tracings are extracted using image processing techniques. Then, based on these parameters, the morphology of craniofacial structure is classified using K-means method. Afterwards, four morphology related landmarks such as Go, Po, N, and Me for each class are analyze. In this study, fifty tracings are investigated for morphological analysis. From experimental results, the craniofacial structures are classified into six clusters. Each cluster has four images, eight images, ten image, seven image, thirteen images, and eight images, respectively. The range of spatial distributions for the landmark Go, Po, S, N, and Me are all within 4 mm.
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