• DocumentCode
    3073381
  • Title

    Quantitative Analysis of Endodontic Treatment for Periapical Lesions in Intraoral Radiographs

  • Author

    Lee, Taeju ; Jeong, Hyekyung ; Kim, Desok ; Lee, Byung-Do

  • Author_Institution
    Sch. of Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    352
  • Lastpage
    355
  • Abstract
    Intraoral radiographs have been taken to diagnose periapical lesions. Subsequent endodontic treatment needs to be evaluated quantitatively, that is often difficult due to various imaging factors as well as subjective visual interpretation. Therefore, we sought to establish an image analysis based quantitative model to evaluate endodontic treatments (40 effective and 43 noneffective cases). To normalize an image, the dentin area and the background were used as references. In each pair of images representing before and after treatment, the lesion area was manually selected by experts and segmented by tophat operation. Numerous features representing the effective bone healing were calculated. Using relative differences of selected features, an evaluation model was derived by logistic regression analysis. Gray level intensity and textural differences obtained from lesions significantly increased in the effectively treated cases. The model provided the accuracy of 80.7%. Our quantitative model may be helpful to evaluate endodontic treatment in clinical settings and in animal studies.
  • Keywords
    bone; dentistry; diagnostic radiography; diseases; feature extraction; image texture; medical image processing; patient treatment; regression analysis; bone healing; diagnose periapical lesions; endodontic treatment; gray level intensity; image analysis; image texture; intraoral radiographs; logistic regression analysis; tophat operation; visual interpretation; Bioinformatics; Cancellous bone; Dentistry; Diagnostic radiography; Image texture analysis; Lesions; Optical imaging; Teeth; Voltage; X-ray imaging; bone remodeling; dental image analysis; endodontic treatment; intraoral radiograph; periapical lesion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and BioEngineering, 2009. BIBE '09. Ninth IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3656-9
  • Type

    conf

  • DOI
    10.1109/BIBE.2009.34
  • Filename
    5211249