• DocumentCode
    636287
  • Title

    Computerized Lenke classification of scoliotic spine

  • Author

    Junhua Zhang ; Xinling Shi ; Liang Lv ; Xiao Wang ; Yufeng Zhang ; Fei Guo

  • Author_Institution
    Electr. Eng. Dept., Yunnan Univ., Kunming, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    945
  • Lastpage
    948
  • Abstract
    A computer-aided approach was proposed to reduce the variability in the Lenke classification. At the first step, endplate inclination of each vertebra on both the coronal and sagittal radiographs was measured by a computerized system. The Cobb angles of the proximal thoracic, the main thoracic, and the thoracolumbar/lumbar curves were then automatically calculated in the standing and side-bending coronal planes and the standing sagittal plane. A computerized algorithm automatically classified the spinal type. The classification results of 37 scoliotic patients by five observers showed that with the computer aid, the average interobserver and intraobserver kappa values were improved from 0.77 to 0.88 and from 0.68 to 0.83, respectively. This computerized tool can assist in the Lenke classification of scoliosis.
  • Keywords
    bone; diagnostic radiography; image classification; medical image processing; Cobb angle automatic calculation; Lenke classification variability reduction; automatic classificatioon; average interobserver kappa value; average intraobserver kappa value; computer-aided approach; computerized Lenke classification; computerized algorithm; computerized system; coronal radiograph; main thoracic; proximal thoracic; sagittal radiograph; scoliotic patient; scoliotic spine; side-bending coronal plane; spinal type; standing coronal plane; standing sagittal plane; thoracolumbar-lumbar curve; vertebra endplate inclination; Classification algorithms; Computers; Image edge detection; Observers; Radiography; Reliability; Surgery; Adolescent; Algorithms; Child; Computers; Female; Humans; Male; Observer Variation; Radiographic Image Enhancement; Reproducibility of Results; Scoliosis; Spine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6609658
  • Filename
    6609658