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A New Organ-Following Algorithm Based on Depth-Depth Matching and Simulated Annealing, and Its Experimental Evaluation

机译:一种基于深度深度匹配和模拟退火的新器官之后算法及其实验评价

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Medical simulation technology has been rapidly developing, owing to the production of cheap high-performance computers and depth cameras. We are developing a surgery navigation system. In such a system, it is important to track a virtual organ model based on a real organ model. For this purpose, we should examine the coincidence of positions/orientations between two organs at any time. In order to achieve this, we compare depth images of virtual or real organ model. The former is calculated by the z-buffer on a graphics processing unit (GPU) board, while the latter is captured by a depth camera. Then, we search for the same position/orientation between real and virtual organ models by comparing the differences between two depth images. In this paper, we use simulated annealing (SA) to search for the same position/orientation.
机译:由于生产便宜的高性能电脑和深度相机,医疗仿真技术一直在迅速发展。我们正在开发手术导航系统。在这样的系统中,重要的是跟踪基于真实器官模型的虚拟器官模型。为此目的,我们应该随时检查两个器官之间的位置/方向的重合。为了实现这一目标,我们比较虚拟或真实器官模型的深度图像。前者由图形处理单元(GPU)板上的Z缓冲区计算,而后者被深度相机捕获。然后,我们通过比较两个深度图像之间的差异来搜索真实和虚拟器模型之间的相同位置/方向。在本文中,我们使用模拟退火(SA)来搜索相同的位置/方向。

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