基于CT图像的肾脏建模方法研究

Research on Kidney Modeling Method Based on CT Images

虚拟手术是当今医学辅助研究领域的热点问题之一,它具有节约医生培训成本、提高手术成功率等优点,而人体组织建模则是虚拟手术系统中的关键技术。随着计算机硬件技术的飞速发展,计算机的计算速度越来越快,对人体软组织建模算法的速度需求已不再那么迫切,而如何提高建模的精度和实现自动化建模则成为了现在研究的主要目标。针对这种情况,尝试了一种新的人体软组织建模方法,该算法结合水平集算法和图割算法对CT图像进行分割,并将这种方法应用到了肾脏的建模上。通过实验证明了该方法同时具有高建模精度和低人工成本的优点,满足了实际使用的需求。

Virtual surgery is one of the hot topics in the field of medical auxiliary research today.It has the advantages of saving the training cost of doctors and improving the success rate of the surgery,and human tissue modeling is the key technology in the virtual surgery system.With the development of computer hardware,the computing speed of the computer is getting faster and faster.The speed requirement for the modeling algorithm of human body soft tissue is not so urgently,and how to improve the precision of modeling and the realization of automatic modeling have become the main goal of the present research.In view of this situation,in this paper,a new modeling method of human soft tissue is tried to be built to segment the CT images combining the level set and the graph cuts,and be applied kidney modeling.Through experiments,the method has the advantages of high modeling accuracy and low labor cost,and meets the actual needs.