Abstract: Aiming at the problems that the fracture occurred randomly, it was difficult to segment the boundary of the broken bone in contact with each other, and the loss of the small broken bone led to the difficulty of the broken bone splicing, we proposed a three-dimensional broken bone repair method based on template-guided and data-driven. Firstly, the neural network was used to train initially and extract the external surface of broken bone, and calculate the external surface features of the broken bone and the template. Secondly, based on the features, the external surface of each broken bone was matched with the bone template. Finally, the fracture boundary was determined according to the distance between the broken bone and the template and the curvature information of the broken bone surface, and the broken bone repair and splicing were realized.
 The experimental results show that the method can effectively segment and splice the broken bone. The segmentation accuracy is 98.44%, the splicing translation error is 9.218 mm, and the splicing rotation error is 1.298°.

Key words: computer-aided pre-fracture planning, fracture repair, broken bone segmentation, broken bone splicing, 3D model