Automated Bone Age Assessment : Motivation, Taxonomies, and Challenges

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 f...

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Bibliographic Details
Published in:Computational and mathematical methods in medicine 2013-01, Vol.2013 (2013), p.1-11
Main Authors: Mansourvar, Marjan, Ismail, Maizatul Akmar, Herawan, Tutut, Raj, Ram Gopal, Abdul Kareem, Sameem, Nasaruddin, Fariza Hanum
Format: Article
Language:English
Subjects:
Adolescent
Age Determination by Skeleton - methods
Automation
Bone and Bones - diagnostic imaging
Child
Child, Preschool
Diagnosis, Computer-Assisted - methods
Female
Fingers - diagnostic imaging
Hand - diagnostic imaging
Humans
Infant
Internet
Male
Neural Networks (Computer)
Observer Variation
Pattern Recognition, Automated
Reproducibility of Results
Review
Software
X-Rays
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Summary: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.
ISSN:1748-670X
1748-6718
DOI:10.1155/2013/391626