Application of Adaptive Threshold Image Segmentation Algorithm in Orthopedic CT Imaging

Objective: To explore the application and analysis of image segmentation in the rehabilitation of patients with bone trauma during orthopedic nursing. Methods: Sixty patients with orthopedic trauma in our hospital were enrolled. The patients were divided into observation group and control group by four weeks. The control group was the traditional observation image, and the observation group was analyzed by image segmentation technology. Therefore, the two groups of patients are provided with nursing treatment, and finally, the progress of bone trauma recovery is periodically observed. Results: The degree of recovery in the observation group was 43% in the four-week period and 30% in the control group. It can be seen that the adaptive threshold algorithm makes orthopedic care more effective in image segmentation. Discussion: In medical imaging technology, different imaging devices can provide a variety of voxel information. The bone morphology information provided by CT images can make orthopedic care more targeted. Conclusion: Image segmentation technology provides a reliable predictive treatment solution in the nursing work, which solves the actual problem of the patient in the injury and the disease, so that the patient can recover faster. However, the expected research results of medical imaging technology research have guiding significance for the doctor's clinical diagnosis and preoperative and postoperative planning.