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Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery

机译:基于模型的弹性表面运动估计,用于微创心脏手术的基于弹性表面

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In order to assist surgeons during surgery on moving organs, e.g. minimally invasive beating heart bypass surgery, a master-slave system which synchronizes surgical instruments with the organ's motion is desired. This synchronization requires reliable estimation of the organ's motion. In this paper, we present a new approach to motion estimation based on a state motion model for a partition of the heart's surface. Its motion behavior is described by a partial differential equation whose input function is assumed to be periodic. An estimator is used on one hand to predict future model states based on reconstruction of the input function and on the other hand to incorporate noisy spatially discrete measurements in order to improve state estimation. The model-based motion estimation is evaluated using a simple heart simulator. Measurements are obtained by reconstructing 3D position of markers on a pulsating membrane by means of a stereo camera system.
机译:为了帮助外科医生在移动器官的手术中,例如,期望微创殴打心脏旁路手术,需要一种与器官运动同步手术器械的主从系统。该同步需要可靠地估计器官运动。在本文中,我们提出了一种基于心脏表面分区的状态运动模型的运动估计的新方法。其运动行为由局部微分方程描述,其输入函数被假定为周期性。一方面使用估计器基于输入功能的重建来预测未来的模型状态,另一方面,以在噪声的空间上离散测量中结合以提高状态估计。使用简单的心脏模拟器评估基于模型的运动估计。通过立体声相机系统重建标记的3D位置来获得测量。

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