Virtual plate pre-bending for the long bone fracture based on axis pre-alignment.

Area of Science:

• Medical Imaging
• Computer-Aided Surgery
• Biomedical Engineering

Background:

• Accurate pre-operative planning is crucial for successful closed fracture reduction surgery.
• Current methods may lack precision in modeling complex bone geometries and fitting fixation plates.

Purpose of the Study:

• To present a modeling and visualizing system to assist surgeons in precise registration for closed fracture reduction.
• To enable the acquisition of geometric parameters for fixation plates prior to long bone fracture operations.

Main Methods:

• CT image denoising using Curvelet transform and 3D bone model reconstruction.
• Pre-alignment of broken bone models via axial line extraction.
• Mesh segmentation using vertex normal features for cross-sections.
• Fine registration using Iterative Closest Point (ICP) algorithm.
• Virtual plate construction using NURBS surface fitting.

Main Results:

• The system successfully reconstructs 3D models of fractured bones.
• Pre-aligned bone models are accurately registered using the ICP algorithm.
• Generated virtual plates closely conform to the registered bone models.
• The system allows for measurement of geometric parameters on virtual plates.

Conclusions:

• The developed system provides a precise tool for surgical planning in closed fracture reduction.
• It facilitates accurate fitting of fixation plates by generating patient-specific virtual models.
• The system aids in obtaining crucial geometric parameters for pre-operative plate bending.