• DocumentCode
    2388099
  • Title

    Spine curve modeling for quantitative analysis of spinal curvature

  • Author

    Hay, Ori ; Hershkovitz, Israel ; Rivlin, Ehud

  • Author_Institution
    Dept. of Anatomy, Tel Aviv Univ., Tel Aviv, Israel
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6356
  • Lastpage
    6359
  • Abstract
    Spine curvature and posture are important to sustain healthy back. Incorrect spine configuration can add strain to muscles and put stress on the spine, leading to low back pain (LBP). We propose new method for analyzing spine curvature in 3D, using CT imaging. The proposed method is based on two novel concepts: the spine curvature is derived from spinal canal centerline, and evaluation of the curve is carried out against a model based on healthy individuals. We show results of curvature analysis of healthy population, pathological (scoliosis) patients, and patients having nonspecific chronic LBP.
  • Keywords
    biomechanics; bone; computerised tomography; medical image processing; muscle; CT imaging; low back pain; muscles; posture; scoliosis; spinal canal centerline; spinal curvature; spine curve modeling; Algorithms; Computer Simulation; Female; Humans; Imaging, Three-Dimensional; Male; Models, Anatomic; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Spinal Curvatures; Spine; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333263
  • Filename
    5333263