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Computerized geometric features of carpal bone for bone age estimation

Chi-Wen Hsieh Tai-Lang Jong Yi-Hong Chou Chui-Mei Tiu

中华医学杂志(英文版)2007,Vol.120Issue(9):767-770,4.
中华医学杂志(英文版)2007,Vol.120Issue(9):767-770,4.

Computerized geometric features of carpal bone for bone age estimation

Computerized geometric features of carpal bone for bone age estimation

Chi-Wen Hsieh 1Tai-Lang Jong 2Yi-Hong Chou 2Chui-Mei Tiu3

作者信息

  • 1. Department of Physics, National Central University, Chungli,Taiwan, China
  • 2. Department of Electrical Engineering, National Tsing-Hua University, Hsinchu, Taiwan, China
  • 3. Department of Radiology, Taipei Veterans General Hospital, Taipei 112, Taiwan, China
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摘要

Abstract

Background Bone age development is one of the significant indicators depicting the growth status of children.However, bone age assessment is an heuristic and tedious work for pediatricians. We developed a computerized bone age estimation system based on the analysis of geometric features of carpal bones.Methods The geometric features of carpals were extracted and analyzed to judge the bone age of children by computerized shape and area description. Four classifiers, linear, nearest neighbor, back-propagation neural network,and radial basis function neural network, were adopted to categorize bone age. Principal component and discriminate analyses were employed to improve assorting accuracy.Results The hand X-ray films of 465 boys and 444 girls served as our database. The features were extracted from carpal bone images, including shape, area, and sequence. The proposed normalization area ratio method was effective in bone age classification by simulation. Besides, features statistics showed similar results between the standard of the Greulich and Pyle atlas and our database.Conclusions The bone area has a higher discriminating power to judge bone age. The ossification sequence of trapezium and trapezoid bones between Taiwanese and the atlas of the GP method is quite different. These results also indicate that carpal bone assessment with classification of neural networks can be correct and practical.

关键词

carpal bones/bone age/neural networks

Key words

carpal bones/bone age/neural networks

分类

医药卫生

引用本文复制引用

Chi-Wen Hsieh,Tai-Lang Jong,Yi-Hong Chou,Chui-Mei Tiu..Computerized geometric features of carpal bone for bone age estimation[J].中华医学杂志(英文版),2007,120(9):767-770,4.

中华医学杂志(英文版)

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