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Automated Web Based System for Bone Age Assessment Using Histogram Technique

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 app...

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Main Authors: Mansourvar, Marjan, Raj, Ram Gopal, Ismail, Maizatul Akmar, Kareem, Sameem Abdul, Shanmugam, Saravanan, Wahid, Shahrom, Mahmud, Rohana, Abdullah, Rukaini, Nasaruddin, Fariza Hanum, Idris, Norisma
Format: Article
Language:English
Published: Faculty of Computer Science and Information Technology, University of Malaya 2012
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/5729/1/Automated_Web_Based_System_for_Bone_Age_Assessment_Using_Histogram_Technique.pdf
http://eprints.um.edu.my/5729/
https://ejournal.um.edu.my/index.php/MJCS/article/view/6604/4291
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spelling my.um.eprints.57292019-11-27T09:08:31Z http://eprints.um.edu.my/5729/ Automated Web Based System for Bone Age Assessment Using Histogram Technique Mansourvar, Marjan Raj, Ram Gopal Ismail, Maizatul Akmar Kareem, Sameem Abdul Shanmugam, Saravanan Wahid, Shahrom Mahmud, Rohana Abdullah, Rukaini Nasaruddin, Fariza Hanum Idris, Norisma T Technology (General) 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. Faculty of Computer Science and Information Technology, University of Malaya 2012 Article PeerReviewed application/pdf en http://eprints.um.edu.my/5729/1/Automated_Web_Based_System_for_Bone_Age_Assessment_Using_Histogram_Technique.pdf 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 https://ejournal.um.edu.my/index.php/MJCS/article/view/6604/4291
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mansourvar, Marjan
Raj, Ram Gopal
Ismail, Maizatul Akmar
Kareem, Sameem Abdul
Shanmugam, Saravanan
Wahid, Shahrom
Mahmud, Rohana
Abdullah, Rukaini
Nasaruddin, Fariza Hanum
Idris, Norisma
Automated Web Based System for Bone Age Assessment Using Histogram Technique
description 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.
format Article
author Mansourvar, Marjan
Raj, Ram Gopal
Ismail, Maizatul Akmar
Kareem, Sameem Abdul
Shanmugam, Saravanan
Wahid, Shahrom
Mahmud, Rohana
Abdullah, Rukaini
Nasaruddin, Fariza Hanum
Idris, Norisma
author_facet Mansourvar, Marjan
Raj, Ram Gopal
Ismail, Maizatul Akmar
Kareem, Sameem Abdul
Shanmugam, Saravanan
Wahid, Shahrom
Mahmud, Rohana
Abdullah, Rukaini
Nasaruddin, Fariza Hanum
Idris, Norisma
author_sort Mansourvar, Marjan
title Automated Web Based System for Bone Age Assessment Using Histogram Technique
title_short Automated Web Based System for Bone Age Assessment Using Histogram Technique
title_full Automated Web Based System for Bone Age Assessment Using Histogram Technique
title_fullStr Automated Web Based System for Bone Age Assessment Using Histogram Technique
title_full_unstemmed Automated Web Based System for Bone Age Assessment Using Histogram Technique
title_sort automated web based system for bone age assessment using histogram technique
publisher Faculty of Computer Science and Information Technology, University of Malaya
publishDate 2012
url http://eprints.um.edu.my/5729/1/Automated_Web_Based_System_for_Bone_Age_Assessment_Using_Histogram_Technique.pdf
http://eprints.um.edu.my/5729/
https://ejournal.um.edu.my/index.php/MJCS/article/view/6604/4291
_version_ 1651867325666689024
score 13.211869

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