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A novel 3D surface construction approach: Application to three-dimensional endoscopic data

机译:一种新型3D表面施工方法:应用于三维内窥镜数据

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Video-endoscopy is the standard clinical procedure for visual exploration of internal walls of hollow organs. For the bladder, the lesion diagnosis is complex because the endoscopic images are bi-dimensional and cover only small bladder areas. 3D endoscopes, based on stereoscopic active vision principles, were recently proposed and validated. This paper presents a 3D reconstruction algorithm using 2D texture images and a few 3D points located on the internal wall surfaces provided by such endoscopes. The algorithm constructs a 3D panoramic surface using the 3D reconstruction method guided by 2D image registration. We show on realistic bladder phantoms that the algorithm is able to reconstruct 3D points and surfaces with a sub-millimetre accuracy.
机译:视频内窥镜检查是空心器官内壁视觉探索的标准临床步骤。对于膀胱,病变诊断是复杂的,因为内窥镜图像是双维的并且仅覆盖小膀胱区域。最近提出并验证了基于立体活跃视觉原则的3D内窥镜。本文介绍了使用2D纹理图像的3D重建算法和位于由这种内窥镜提供的内壁表面上的几个3D点。该算法使用由2D图像配准的3D重建方法构造3D全景表面。我们在现实的膀胱幽灵上展示了算法能够重建具有子毫米精度的3D点和表面。

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