A Bayesian Approach to Multistage Fitting of the Variation of the Skeletal Age Features

Accurate assessment of skeletal maturity is important clinically. Skeletal age assessment is usually based on features encoded in ossification centers. Therefore, it is critical to design a mechanism to capture as much as possible characteristics of features. We have observed that given a feature, t...

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Bibliographic Details
Published in:BioMed research international 2009-01, Vol.2009 (2009), p.1-7
Main Authors: Hua, Dong, Chen, Dechang, Liu, Fang, Youssef, Abdou
Format: Article
Language:English
Subjects:
Age
Age Determination by Skeleton - methods
Algorithms
Bayes Theorem
Bayesian statistical decision theory
Computer science
Finger Phalanges - diagnostic imaging
Hand - diagnostic imaging
Health sciences
Humans
Image Processing, Computer-Assisted - methods
Methodology Report
Methods
Models, Statistical
Pattern Recognition, Automated - methods
Properties
Skeleton
Studies
Citations: Items that this one cites
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Summary:Accurate assessment of skeletal maturity is important clinically. Skeletal age assessment is usually based on features encoded in ossification centers. Therefore, it is critical to design a mechanism to capture as much as possible characteristics of features. We have observed that given a feature, there exist stages of the skeletal age such that the variation pattern of the feature differs in these stages. Based on this observation, we propose a Bayesian cut fitting to describe features in response to the skeletal age. With our approach, appropriate positions for stage separation are determined automatically by a Bayesian approach, and a model is used to fit the variation of a feature within each stage. Our experimental results show that the proposed method surpasses the traditional fitting using only one line or one curve not only in the efficiency and accuracy of fitting but also in global and local feature characterization.
ISSN:1110-7243
2314-6133
1110-7251
2314-6141
DOI:10.1155/2009/623853