Automated Web Based System for Bone Age Assessment using Histogram Technique

Malaysian Journal of Computer Science

Marjan Mansourvar¹  Saravanan Shanmugam¹  Rukaini Abdullah¹  S. Abdul-Kareem¹  Norisma Idris¹  Shahrom Wahid¹  Rohana Mahmud¹  Fariza Hanum Nasaruddin¹  Maizatul Akmar Ismail¹  Ram Gopal Raj¹ 

关键词: Forensic Science;    Bone Age Assessment (BAA);    ImageProcessing;    Content Based Image Retrieval (CBIR);    Histogram;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

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.

【 授权许可】

Unknown