A knowledge-based automatic cephalometric analysis method

In this paper, a new analysis method based on the clinical knowledge is proposed and described for the automatic identification of cephalometric landmarks in digital cephalometric radiographs. A layer algorithm for image enhancement is also developed according to the gray-level distribution of the o...

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Bibliographic Details
Main Authors: Jinchang Ren, Dong Liu, Dagan Feng, Jinling Shao, Rongchun Zhao, Yi Liao, Zhu Lin
Format: Conference Proceeding
Language:English
Subjects:
Biomedical engineering
Biomedical imaging
Clinical diagnosis
Computer science
Knowledge engineering
Magnetic analysis
Medical diagnostic imaging
Muscles
Radiography
Ultrasonic imaging
Online Access:Request full text
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Description
Summary:In this paper, a new analysis method based on the clinical knowledge is proposed and described for the automatic identification of cephalometric landmarks in digital cephalometric radiographs. A layer algorithm for image enhancement is also developed according to the gray-level distribution of the objects and the backgrounds. The experimental results have demonstrated that the proposed method performs better than the existing methods do in terms of their identifiability, accuracy, and dynamic range of images.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.1998.745524