A Time-of-Flight Stereoscopic Endoscope for Anatomical 3D Reconstruction

A. Roberti, Nicola Piccinelli, Fabio Falezza, Giacomo De Rossi, S. Bonora, F. Setti, P. Fiorini, R. Muradore
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Abstract

This paper presents a novel endoscope design for laparoscopic surgery that has been specifically tailored to provide both a stereoscopic view to the surgeon and a high-accuracy 3D reconstruction for an advanced visualization of the anatomical environment. The former helps the main surgeon in teleoperating a robotic minimally-invasive system (R-MIS) while the latter provides necessary data to upcoming autonomous surgical procedure implementations in a manner akin to the current development of autonomous driving systems. To this aim, we created an initial prototype that incorporates a pair of high-quality, chip-on-tip RGB cameras with a Time-of-Flight (ToF) 3D sensor in a sufficiently compact design to allow its usage in intra-luminal operations. The combination of these sensors provides a reliable 3D model of the anatomical structures at close and far distances within the workspace to effectively overcome the issues presented by current laparoscopy stereo endoscopes, for which the depth estimation is hindered by the reduced baseline distance between the cameras. Moreover, the application to current robotic platforms presents innate mathematical issues when applying hand-eye calibration techniques for localization. We finally developed a calibration procedure that merges both color and depth information. The endoscope design is fully validated through the reconstruction of a planar surface, achieving a depth, latitudinal, and longitudinal orientation precision of 3.3mm, −0.02rad, −0.025rad respectively.
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用于解剖三维重建的飞行时间立体内窥镜
本文介绍了一种用于腹腔镜手术的新型内窥镜设计,该内窥镜专门为外科医生提供立体视图和高精度3D重建,以实现解剖环境的高级可视化。前者帮助主外科医生远程操作机器人微创系统(R-MIS),而后者则以类似于当前自动驾驶系统开发的方式,为即将到来的自主手术程序实施提供必要的数据。为此,我们创建了一个初始原型,该原型结合了一对高质量的尖端芯片RGB相机和飞行时间(ToF) 3D传感器,其设计足够紧凑,可以用于腔内操作。这些传感器的组合提供了工作空间内近距离和远距离解剖结构的可靠3D模型,有效克服了目前腹腔镜立体内窥镜存在的问题,即由于相机之间的基线距离减小而阻碍了深度估计。此外,在当前机器人平台上应用手眼标定技术进行定位时,存在固有的数学问题。我们最终开发了一个校准程序,合并了颜色和深度信息。通过一个平面的重建,充分验证了内窥镜的设计,深度精度为3.3mm,纬度精度为- 0.02rad,纵向精度为- 0.025rad。
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