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Fast marker based c-arm pose estimation

机译:基于快速标记的c臂姿势估计

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摘要

To estimate the pose of a C-Arm during interventions therapy we have developed a small sized X-Ray Target including a special set of beads with known locations in 3D space. Since the patient needs to remain in the X-Ray path for all feasible poses of the C-Arm during the intervention, we cannot construct a single marker which is entirely visible in all images. Therefore finding 2D-3D point correspondences is a non-trivial task. The marker pattern has to be chosen in a way such that its projection onto the image plane is unique in a minimal-sized window for all relevant poses of the C-Arm. We use a two dimensional adaption of a linear feedback shift register (LFSR) to generate a two-dimensional pattern with unique sub-patterns in a certain window range. Thereby uniqueness is not achieved by placing unique 2D sub patterns side by side but by the code property itself. The code is designed in a way that any sub window of a minimal size guarantees uniqueness and that even occlusions from medical instruments can be handled. Experiments showed that we were able to estimate the C-Arm’s pose from a single image within one second with a precision below one millimeter and one degree.
机译:为了估算介入治疗期间C型臂的姿势,我们开发了一种小型X射线靶,其中包括在3D空间中具有已知位置的一组特殊磁珠。由于在干预过程中患者需要保持C臂所有可行姿势的X射线路径,因此我们无法构建在所有图像中都完全可见的单个标记。因此,找到2D-3D点对应关系是一项艰巨的任务。标记图案的选择方式必须使它在图像平面上的投影在C型臂所有相关姿势的最小尺寸窗口中是唯一的。我们使用线性反馈移位寄存器(LFSR)的二维匹配来生成在特定窗口范围内具有唯一子模式的二维模式。因此,不能通过并排放置唯一的2D子图案来实现唯一性,而可以通过code属性本身来实现。该代码的设计方式是,任何最小尺寸的子窗口都可以保证唯一性,甚至可以处理医疗器械中的堵塞物。实验表明,我们能够在一秒钟内从单个图像估计C型臂的姿态,其精度低于1毫米零1度。

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