Computerized extraction of craniofacial anatomical structures for orthodontic analysis

Authors:
Weining Yue;Dali Yin;Guoping Wang;Tianmin Xu;Chengjun Li
Affiliations:
Department of Computer Science & Technology, Peking University, Beijing, China;Department of Computer Science & Technology, Peking University, Beijing, China;Department of Computer Science & Technology, Peking University, Beijing, China;School of Stomatology, Peking University, Beijing, China;Department of Computer Science & Technology, Peking University, Beijing, China
Venue:
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Year:
2005

Citing 4
Cited 0

Knowledge-based landmarking of cephalograms

Computers and Biomedical Research
Landmarking of cephalograms using a microcomputer system

Computers and Biomedical Research
Active shape models—their training and application

Computer Vision and Image Understanding
Shape variability and spatial relationships modeling in statistical pattern recognition

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

Extraction of craniofacial anatomical structures on cephalometric radiographs is important for observing and predicting the growth changes and evaluating the curative effect in orthodontic analysis. Due to the natural of cephalograms, it is difficult for simplex image processing approaches to exactly track both the soft tissue contours and the structure outlines of internal skull. In this paper, we address this problem by recognizing 262 landmark points and then connecting them according to the prior knowledge. Image processing, pattern matching, and modified active shape model are combined to realize the landmark recognition; subdivision curves are used to obtain the structure rendering.