TY - GEN
T1 - The analysis of craniofacial morphology in posteroanterior view
AU - Cheng, Kuo Sheng
AU - Ou, C. H.
AU - Chen, Y. T.
AU - Liu, J. K.
AU - Kuo, C. L.
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - In this paper, a method for characterizing the morphological information of craniofacial structure using the tracings and cephalograms in posteroanterior view is proposed and the experimental results are analyzed. This is a retrospective study. In clinical practice of orthodontics, the cephalograms taken in lateral and posteroanterior views are often used. Here, the morphological analysis of craniofacial structure is characterized only in posteroanterior view. Firstly, the morphological feature parameters of cephalometric tracings are defined and extracted. Then, based on these parameters, the morphology of craniofacial structure in posteroanterior view is clustered using fuzzy c-means and ISODATA clustering method. In this study, the data sets of eighty tracings are investigated. From experimental results, the craniofacial structures are classified into six clusters. Each cluster has ten images, sixteen images, ten images, fifteen images, thirteen images, and sixteen images, respectively. The standard deviations for the landmark are all within 6 mm in each cluster. The morphological information can be further extended and used in cephalogram landmarking.
AB - In this paper, a method for characterizing the morphological information of craniofacial structure using the tracings and cephalograms in posteroanterior view is proposed and the experimental results are analyzed. This is a retrospective study. In clinical practice of orthodontics, the cephalograms taken in lateral and posteroanterior views are often used. Here, the morphological analysis of craniofacial structure is characterized only in posteroanterior view. Firstly, the morphological feature parameters of cephalometric tracings are defined and extracted. Then, based on these parameters, the morphology of craniofacial structure in posteroanterior view is clustered using fuzzy c-means and ISODATA clustering method. In this study, the data sets of eighty tracings are investigated. From experimental results, the craniofacial structures are classified into six clusters. Each cluster has ten images, sixteen images, ten images, fifteen images, thirteen images, and sixteen images, respectively. The standard deviations for the landmark are all within 6 mm in each cluster. The morphological information can be further extended and used in cephalogram landmarking.
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U2 - 10.1007/978-3-540-69367-3_129
DO - 10.1007/978-3-540-69367-3_129
M3 - Conference contribution
AN - SCOPUS:78049382436
SN - 9783540693666
T3 - IFMBE Proceedings
SP - 481
EP - 484
BT - 14th Nordic-Baltic Conference on Biomedical Engineering and Medical Physics, NBC 2008
PB - Springer Verlag
ER -