Novel Role of Biomedical Sensors and CT/MRI Scanning Image Segmentation Algorithms in Orthopedic Diseases

Abstract

We aimed to evaluate the efficacy of medical image segmentation algorithms in conjunction with biomedical sensors for the diagnosis and treatment of orthopedic diseases. The two-dimensional image data of orthopedic patients were obtained by using CT/MRI scanning along with the biomedical sensors. Patients are divided into: control group (n = 140 cases) and experimental group (106 cases). The control group has received the traditional orthopedic surgery analysis method, while the experimental group has adopted the medical image segmentation, biomedical sensors and MRI scanning for the treatment/surgery of orthopedic patients. There is a apparently different level of performance between two groups (P <0.05). The analgesic and sedative effect of the experimental group is observed at 2 h, 6 h, and after 12 h respectively and it is found that the experimental group exhibits better results with statistical significance (P < 0.05). The experimental group has better rates of fracture, fracture nonunion, osteoporosis, and femoral head necrosis, and a substantial difference in various disease classifications is observed between two groups (P <0.05). There is a considerable gap between two groups in the rate of subsequent operations. The experimental group has much higher rate of subsequent operations than the control group (P <0.05). The proposed innovative non-invasive medical treatment methods can not only enhance the accuracy of orthopedic surgeries.