| 摘要: | 研究期間：10208~10307;Generally, knees, hips and spines are subjected to most compressive stress in human body, which results in most outpatients to receive orthopedic clinics and surgical operations as well. In addition, the increase in aging population also induces the growing cases of degenerative joint disease and bone fracture from osteoporosis. The minimally invasive surgery (MIS) with concise procedures and less time spent can improve the weaknesses of traditional operations with large incisions and has becomes more and more popular. Most important of all, it can reduce the damage of the tissues and organs neighboring the nidus and the time spent for rehabilitation. However, because of the narrowed filed of view on the nidus, MIS generally consists of the procedures of high-skilled and even difficult techniques, especially for spine surgery. Owing to its nearby nerves and arteries, it is necessary for surgeons to take plenty of C-arm images to obtain in-time information. Although it can ensure the patient safety in surgery to certain degree, the increasing radiation exposure will probably bring the patients and surgeons some diseases in the future, like cancers. To reduce the risks of MIS, this sub-project intends to develop a medical image software platform with the preoperative evaluation module, which reveals more information about the nidus to enhance the surgeons’ confidence and the success rate of surgery. Also, the quantities of C-arm images and the radiation exposure to patients and surgeons can then be decreased. In this sub-project, the preoperative evaluation system is mainly composed of four sections: (1) structure segmentation of medical images and construction and display of 3D models, (2) preoperative evaluation for Vertebroplasty, (3) preoperative evaluation for spine internal fixation, and (4) system integration and verification for preoperative evaluation and Intraoperative navigation, which will be proceeded in three years. In respect of potential benefits, this integration platform will be able to display and operate medical images in both 2D and 3D views and the 3D models of skin, bones, vessels and nerves. Some algorithms for the assembly simulation of instruments, implants and bones, the analysis of component parts and the imitative radiographs are also investigated and implemented to provide surgeons with more intuitive information for preoperative evaluation. Two common surgery types are selected from numerous spine surgery categories and processed in this sub-project. It is believed that MIS or general surgery over dependent on surgeons’ experience can then be improved with more nidus information provided by the platform developed in this sub-project. |
