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Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots

机译:内窥镜胶囊机器人基于磁-视觉传感器融合的密集3D重建与定位

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Reliable and real-time 3D reconstruction and localization functionality is a crucial prerequisite for the navigation of actively controlled capsule endoscopic robots as an emerging, minimally invasive diagnostic and therapeutic technology for use in the gastrointestinal (GI) tract. In this study, we propose a fully dense, non-rigidly deformable, strictly real-time, intraoperative map fusion approach for actively controlled endoscopic capsule robot applications which combines magnetic and vision-based localization, with non-rigid deformations based frame-to-model map fusion. The performance of the proposed method is evaluated using four different ex-vivo porcine stomach models. Across different trajectories of varying speed and complexity, and four different endoscopic cameras, the root mean square surface reconstruction errors vary from 1.58 to 2.17 cm.
机译:可靠且实时的3D重建和定位功能是主动控制胶囊内窥镜机器人导航的一项关键先决条件,它是一种新兴的,微创的诊断和治疗技术,可用于胃肠道(GI)。在这项研究中,我们为主动控制的内窥镜胶囊机器人应用提出了一种完全致密,非刚性变形,严格实时的术中地图融合方法,该方法融合了基于磁性和视觉的定位以及基于非刚性变形的帧到帧。模型图融合。使用四种不同的离体猪胃模型评估了所提出方法的性能。跨越速度和复杂程度不同的不同轨迹,以及四个不同的内窥镜相机,其均方根表面重建误差在1.58至2.17 cm之间变化。

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