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

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Orthopedics

Background:

• Scoliosis analysis traditionally relies on 2D imaging.
• Accurate 3D modeling is crucial for understanding spinal deformities.
• Existing methods may lack precision in capturing complex spinal curvatures.

Purpose of the Study:

• To develop a novel 3D spine modeling technique using Bezier curves.
• To enable precise analysis and classification of scoliotic deformities.
• To apply the Lenke Classification system to the developed 3D model.

Main Methods:

• Utilizing 3D Bezier Curves fitted to orthogonal spinal radiographic images (coronal and sagittal).
• Implementing simplified 3D vertebrae onto the Bezier curve model.
• Incorporating interactive left and right side bending to assess curve structurality and stiffness.

Main Results:

• Successful creation of a simplified 3D human spine model.
• Accurate application of the Lenke Classification system to the 3D model.
• Determination of curve stiffness and structurality through interactive bending analysis.

Conclusions:

• The 3D Bezier Curve modeling approach provides a robust method for scoliosis analysis.
• This technique facilitates accurate classification of spinal deformities.
• The model aids in understanding the biomechanical properties of scoliotic spines.