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 language | English (US) |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Pages | 3144-3146 |
Number of pages | 3 |
Volume | 26 V |
State | Published - 2004 |
Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
Other
Other | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 9/1/04 → 9/5/04 |
Keywords
- Bezier curve
- Lenke classification
- Scoliosis
- Spine deformity
ASJC Scopus subject areas
- Bioengineering