Title Automated 2-D cephalometric analysis on X-ray images by a model-based approach
Authors Yue, Weining
Yin, Dali
Li, Chengjun
Wang, Guoping
Xu, Tianmin
Affiliation Peking Univ, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China.
Peking Univ, Sch Stomatol, Dept Orthodont, Beijing 100871, Peoples R China.
Keywords ASM
cephalometry
edge detection
landmarks
pattern matching
PCA
structure tracing
superimposition
ACTIVE SHAPE MODELS
CRANIOFACIAL LANDMARKS
CEPHALOGRAMS
IDENTIFICATION
SYSTEM
Issue Date 2006
Publisher ieee transactions on biomedical engineering
Citation IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING.2006,53,(8),1615-1623.
Abstract Craniofacial landmark localization and anatomical structure tracing on cephalograms are two important ways to obtain the cephalometric analysis. In order to-computerize them in parallel, a model-based approach is proposed to locate 262 craniofacial feature points, including 90 landmarks and 172 auxiliary points. In model training, 12 landmarks are selected as reference points and used to divide every training shape to 10 regions according to the anatomical knowledge; principle components analysis is employed to characterize the region shape variations and the statistical grey profile of every feature point. Locating feature points on an input image is a two-stage procedure. First, we. identify the reference landmarks by image processing and pattern matching techniques, so that the shape partition is performed on the input image. Then, for each region, its feature points are located by a modified active shape model. All craniofacial anatomical structures can be traced out by connecting the located points with subdivision curves according to the prior knowledge. Users are permitted to modify the results interactively in many different ways. Experimental results show the advantage and reliability of the proposed method.
URI http://hdl.handle.net/20.500.11897/151881
ISSN 0018-9294
DOI 10.1109/TBME.2006.876638
Indexed SCI(E)
EI
PubMed
Appears in Collections: 信息科学技术学院
口腔医院

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