• DocumentCode
    617276
  • Title

    A radiographic-based method for marginal bone loss measurement in dental implants

  • Author

    Veronese, E. ; Veronese, Mattia ; Sivolella, Stefano ; Grisan, E.

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • fYear
    2013
  • fDate
    7-11 April 2013
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    Radiographic assessment of marginal bone loss is one of the most used criteria in longitudinal control of dental implant osseointegration. Accurate and reproducible results are difficult to obtain, due to considerable intra- and interoperator variability. In this work a semi-automatic approach to establish the degree of osseointegration of dental implants based on radiographic images is presented. The marginal bone loss around 47 implants in 16 patients were assessed. Computer-assisted results were compared with those provided manually by three expert graders. The method provides a mean inter-variability reduced of the 70% with respect to the manual measures. Limiting the analysis to the subset of implants characterized by a manual inter-variability lower than 25%, the automatic results are well correlated with the manual measures: estimating the marginal bone loss, the value of R2 ranges from 0.62 to 0.86; estimating the screws´ axis length, the value of R2 is always above 0.99.
  • Keywords
    biomedical measurement; bone; dentistry; diagnostic radiography; image segmentation; medical image processing; prosthetics; dental implants; interoperator variability; intraoperator variability; marginal bone loss measurement; mean intervariability; osseointegration; radiographic assessment; semiautomatic approach; Biomedical measurement; Bones; Dentistry; Fasteners; Implants; Loss measurement; Manuals; Dental implants; digital imaging; image segmentation; implant assessment; radiographs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4673-6456-0
  • Type

    conf

  • DOI
    10.1109/ISBI.2013.6556429
  • Filename
    6556429