Image processing based surgical navigation system building

In this paper, we aim to build a 3D medical image processing based surgical navigation system, to assist the operation with smooth performance. We first focus on the parallel implementation of Graph Cuts algorithm under CUDA for organ segmentation. The algorithm is modified and optimized and satisfactory results are obtained. A GPU parallel accelerated Marching Cubes algorithm for visualization is designed and experimental results are given. A surgical planning method is also developed, which can effectively reduce the risk of the radiation that the patients receive and accidental injury of the puncture needles in the traditional surgery. Two different navigation equipment´s connection and communication are implemented with our system. The above main functions are integrated to a surgical navigation system. Some experiments are made (animal experiments included) to test this platform for accuracy, reliability and ease of use.