Automated Web Based System for Bone Age Assessment using Histogram Technique

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Marjan Mansourvar
Ram Gopal Raj
Maizatul Akmar Ismail
Sameem Abdul Kareem
Saravanan Shanmugam
Shahrom Wahid
Rohana Mahmud
Rukaini Hj. Abdullah
Fariza Hanum Fariza Nasaruddin
Norisma Idris

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.

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How to Cite
Mansourvar, M., Raj, R. G., Ismail, M. A., Abdul Kareem, S., Shanmugam, S., Wahid, S., Mahmud, R., Hj. Abdullah, R., Nasaruddin, F. H. F., & Idris, N. (2012). Automated Web Based System for Bone Age Assessment using Histogram Technique. Malaysian Journal of Computer Science, 25(3), 107–121. Retrieved from https://sare.um.edu.my/index.php/MJCS/article/view/6604
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