Experimental research based on robot‐assisted surgery: Lower limb fracture reduction surgery planning navigation system

Abstract

Abstract Background and Aims Lower extremity fracture reduction surgery is a key step in the treatment of lower extremity fractures. How to ensure high precision of fracture reduction while reducing secondary trauma during reduction is a difficult problem in current surgery. Methods First, segmentation and three‐dimensional reconstruction are performed based on fracture computed tomography images. A cross‐sectional point cloud extraction algorithm based on the normal filtering of the long axis of the bone is designed to obtain the cross‐sectional point clouds of the distal bone and the proximal bone, and the optimal reset target pose of the broken bone is obtained by using the iterative closest point algorithm. Then, the optimal reset sequence of reset parameters was determined, combined with the broken bone collision detection algorithm, a surgical planning algorithm for lower limb fracture reset was proposed, which can effectively reduce the reset force while ensuring the accuracy of the reset process without collision. Results The average error of the reduction of the model bone was within 1.0 mm. The reduction operation using the planning and navigation system of lower extremity fracture reduction surgery can effectively reduce the reduction force. At the same time, it can better ensure the smooth change of the reduction force. Conclusion Planning and navigation system of lower extremity fracture reduction surgery is feasible and effective.

Keywords

• lower extremity fracture reduction
• point cloud extraction
• surgical navigation
• surgical planning