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An image-navigation system for vascular interventional surgery robot

机译:血管介入手术机器人的图像导航系统

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A new image-navigation system for vascular interventional surgery robot (VISR) is proposed. This system can provide robot with navigation information based on projection images without other external tracking devices. Firstly, projection images acquired from digital subtraction angiography (DSA) machine are calibrated by iterative optimization process. Secondly, 3D vascular model is reconstructed from two calibrated projection images so that surgeons observe pathological vasculature and make surgical planning easily. Thirdly, roadmap view is provided by superimposing 3D vascular model and projection images, which allows surgeon to quantify robotic motion accurately. Finally, physical phantom experiments are performed to validate the 3D reconstruction accuracy by comparing the distance between reconstruction results with actual values. Animal experiments show that image-navigation system can satisfy the demanding of VISR.
机译:提出了一种新的血管介入手术机器人图像导航系统。该系统可以为机器人提供基于投影图像的导航信息,而无需其他外部跟踪设备。首先,通过迭代优化过程对从数字减影血管造影(DSA)机获取的投影图像进行校准。其次,从两个校准的投影图像重建3D血管模型,以便外科医生观察病理性脉管系统并轻松进行手术计划。第三,通过叠加3D血管模型和投影图像来提供路线图视图,从而使外科医生可以准确地量化机器人运动。最后,通过将重建结果与实际值之间的距离进行比较,进行物理体模实验以验证3D重建精度。动物实验表明,图像导航系统可以满足VISR的要求。

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