Identification of Lenke spine deformity classification by simplified 3D spine model

H. Lin, D. Sucato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

The 3D Bezier Curve is used to model the simplified 3D human spine for analyzing and classifying the scoliotic deformity. This 3D spine model is based on two orthogonal spinal radiographic images taken from coronal and sagittal planes. Superimposed on these two images, the 3D Bezier curves are fitted interactively onto the center of the spine from coronal and sagittal images. After the 3D Bezier Curve fitting, a series of simplified 3D vertebrae are implemented onto the 3D Bezier Curve proportional in size to its axis. The Lenke Classification system is applied to this 3D spine model. In order to identify the Lenke Classification for each individual spine model, the left side bending and right side bending images are added. Bending the 3D spine model interactively to the left and right determines the stiffness of the spinal deformity and whether the curves are structural. Thus the Lenke Classification could be determined.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages3144-3146
Number of pages3
Volume26 V
Publication statusPublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Other

OtherConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
CountryUnited States
CitySan Francisco, CA
Period9/1/049/5/04

Keywords

  • Bezier curve
  • Lenke classification
  • Scoliosis
  • Spine deformity

ASJC Scopus subject areas

  • Bioengineering

Cite this

Lin, H., & Sucato, D. (2004). Identification of Lenke spine deformity classification by simplified 3D spine model. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 26 V, pp. 3144-3146)