Automated Web Based System for Bone Age Assessment Using Histogram Technique

Mansourvar, Marjan and Raj, Ram Gopal and Ismail, Maizatul Akmar and Kareem, Sameem Abdul and Shanmugam, Saravanan and Wahid, Shahrom and Mahmud, Rohana and Abdullah, Rukaini and Nasaruddin, Fariza Hanum and Idris, Norisma (2012) Automated Web Based System for Bone Age Assessment Using Histogram Technique. Malaysian Journal of Computer Science, 25 (3). pp. 107-121. ISSN 0127-9084

[img]
Preview
PDF
Automated_Web_Based_System_for_Bone_Age_Assessment_Using_Histogram_Technique.pdf

Download (1MB)
Official URL: https://ejournal.um.edu.my/index.php/MJCS/article/...

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.

Item Type: Article
Additional Information: Mansourvar, Marjan Raj, Ram Gopal Ismail, MaizatulAkmar Kareem, Sameem Abdul Shanmugam, Saravanan Wahid, Shahrom Mahmud, Rohana Abdullah, RukainiHj Nasaruddin, FarizaHanum Idris, Norisma
Uncontrolled Keywords: Forensic Science, Bone Age Assessment (BAA), Image Processing, Content Based Image Retrieval (CBIR), Histogram
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Dept of Artificial Intelligence
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 04 Jan 2013 15:14
Last Modified: 27 Nov 2019 09:08
URI: http://eprints.um.edu.my/id/eprint/5729

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year