• DocumentCode
    197268
  • Title

    Automatic method for bone age assessment based on combined method

  • Author

    Mansourvar, Marjan ; Kareem, Sameem Abdul ; Ismail, Maizatul Akmar ; Nasaruddin, Fariza Hanum

  • Author_Institution
    Inf. Syst. Dept., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bone age assessment (BAA) is a method of evaluating the level of skeletal maturation in children. Generally, it is applied manually by comparing an X-ray of a left hand-wrist with a standard samples as atlas in the clinical procedure. The manual methods are prone to variability of observation, time consuming and limited to objective decisions. These are big motivations for automatic method for bone age assessment. This study aims to develop an automated method for BAA based on combined method. This method tries to overcome the problems of conducting BAA in manual methods. A survey questionnaire is used as the part of research methodology to identify the BAA method used by radiologists and to extract the factors that effect on determination of bone age in the Faculty of Medicine, University of Malaya Medical Centre (UMMC).
  • Keywords
    bone; diagnostic radiography; feature extraction; forensic science; image matching; medical image processing; BAA method; Faculty of Medicine; UMMC; University of Malaya Medical Centre; automatic bone age assessment method; children; clinical procedure; left hand-wrist X-ray; radiologists; skeletal maturation; Accuracy; Biochemistry; Biomedical imaging; Bones; Educational institutions; Estimation; Forensics; Automatic bone age assessment; bone age; bone age assessment; forensic scienec;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences (ICCOINS), 2014 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4391-3
  • Type

    conf

  • DOI
    10.1109/ICCOINS.2014.6868424
  • Filename
    6868424