Vertebrae segmentation and measurement method based on spinal fusion device design

Since the type and size of spinal fusion device design are affected by the vertebrae area and parameters, to manufacture personalized spinal fusion devices, a segmentation template containing semantic parameter information was constructed to segment the vertebrae from coarse to fine and measure the semantic parameters. Based on the generated geometrically averaged skeleton, morphology was introduced to segment it and obtain the skeleton line ratio, and a segmentation template was constructed. The semantic feature points were marked and semantic parameters were calculated to generate a segmentation template containing semantic parameter information. Then, based on the segmentation template, the skeleton line and geodesic ring were used to achieve regional segmentation of the tar-get bone by combining with the Overall shape and outer surface of the spine, which provided guidance for the selec-tion of the type of spinal fusion device. Finally, the template and the target bone were registered and mapped to a-chieve automatic measurement of the semantic parameters of the target bone and assist in determining the size of the spinal fusion device. Experiments were conducted with different vertebrae to verify the rationality and effectiveness of the method, laying a theoretical foundation for the design and manufacture of spinal fusion devices. © 2024 CIMS. All rights reserved.