Document Type
Article
Publication Date
1-1-2012
Abstract
Bone age assessment (BAA) is often used to evaluate the growth status of children as part of the detection of hormonal problems and genetic disorders. The determination of skeletal maturity is done based on a radiological examination of the hand-wrist skeletal area. This paper introduces a novel approach for BAA that utilizes a histogram based comparison technique. This approach is executed as a web based system that uses an image repository and similarity measures based on content-based image retrieval. This study aims to overcome to the limitations of traditional methods utilized to estimate human age which were often imprecise. The system provides age prediction for hand and wrist x-ray images up till age of 18 years. The results of the system evaluation indicate this method as a reliable method for BAA with the error rates of -0.170625 years compared with BoneXpert system that have returned error rate of between +/- 0.46 to +/- 0.37 years.
Keywords
Forensic Science, Bone Age Assessment (BAA), Image Processing, Content Based Image Retrieval (CBIR), Histogram
Divisions
ai
Publication Title
Malaysian Journal of Computer Science
Volume
25
Issue
3
Publisher
Faculty of Computer Science and Information Technology, University of Malaya
Additional Information
Mansourvar, Marjan Raj, Ram Gopal Ismail, MaizatulAkmar Kareem, Sameem Abdul Shanmugam, Saravanan Wahid, Shahrom Mahmud, Rohana Abdullah, RukainiHj Nasaruddin, FarizaHanum Idris, Norisma