| dc.description.abstract | 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 field of view on the nidus, MIS generally consists of the procedures of high-skilled and even difficult techniques, especially for vertebroplasty surgery. Owing to its nearby nerves and arteries, it is necessary for surgeons to take plenty of C-arm 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 nurses and surgeons some diseases in the future, like cancers.
To reduce the risk of MIS, this research intends to develop a medical image software platform with the preoperative evaluation module, which reveals more information about the nidus to reduce the uncertainty of vertebroplasty surgery. Also, the quantities of C-arm images and the radiation exposure to nurses and surgeons can be decreased. In this paper, the preoperative evaluation system is mainly composed of the following items: (1)structure segmentation of medical images and construction and display of 3D models, (2)preoperative evaluation for Vertebroplasty, (3)system integration and verification for preoperative evaluation, and (4) Touch operation of the medical imaging system, etc. Hoping information output by the simulation system can improve the current preoperative information insufficient and require rely on the physicians experience problem.
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