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Computational and Mathematical Methods in Medicine
Volume 2013, Article ID 391626, 11 pages
http://dx.doi.org/10.1155/2013/391626
Review Article

Automated Bone Age Assessment: Motivation, Taxonomies, and Challenges

1Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Pantai Valley, Kuala Lumpur, Malaysia
2Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Pantai Valley, Kuala Lumpur, Malaysia

Received 20 August 2013; Revised 17 October 2013; Accepted 21 October 2013

Academic Editor: Emil Alexov

Copyright © 2013 Marjan Mansourvar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Bone age assessment (BAA) of unknown people is one of the most important topics in clinical procedure for evaluation of biological maturity of children. BAA is performed usually by comparing an X-ray of left hand wrist with an atlas of known sample bones. Recently, BAA has gained remarkable ground from academia and medicine. Manual methods of BAA are time-consuming and prone to observer variability. This is a motivation for developing automated methods of BAA. However, there is considerable research on the automated assessment, much of which are still in the experimental stage. This survey provides taxonomy of automated BAA approaches and discusses the challenges. Finally, we present suggestions for future research.