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机器人手臂辅助的柔性大视野光学相干断层扫描

Robotic-arm-assisted flexible large field-of-view optical coherence tomography.

作者信息

Huang Yong, Li Xiaochen, Liu Junyu, Qiao Zhengyu, Chen Jingsi, Hao Qun

机构信息

School of Optics and Photonics, Beijing Institute of Technology, No. 5 South Zhongguancun Street, Haidian, Beijing 100081, China.

Equal contributors.

出版信息

Biomed Opt Express. 2021 Jul 1;12(7):4596-4609. doi: 10.1364/BOE.431318.

Abstract

Optical coherence tomography (OCT) is a three-dimensional non-invasive high-resolution imaging modality that has been widely used for applications ranging from medical diagnosis to industrial inspection. Common OCT systems are equipped with limited field-of-view (FOV) in both the axial depth direction (a few millimeters) and lateral direction (a few centimeters), prohibiting their applications for samples with large and irregular surface profiles. Image stitching techniques exist but are often limited to at most 3 degrees-of-freedom (DOF) scanning. In this work, we propose a robotic-arm-assisted OCT system with 7 DOF for flexible large FOV 3D imaging. The system consists of a depth camera, a robotic arm and a miniature OCT probe with an integrated RGB camera. The depth camera is used to get the spatial information of targeted sample at large scale while the RGB camera is used to obtain the exact position of target to align the image probe. Eventually, the real-time 3D OCT imaging is used to resolve the relative pose of the probe to the sample and as a feedback for imaging pose optimization when necessary. Flexible probe pose manipulation is enabled by the 7 DOF robotic arm. We demonstrate a prototype system and present experimental results with flexible tens of times enlarged FOV for plastic tube, phantom human finger, and letter stamps. It is expected that robotic-arm-assisted flexible large FOV OCT imaging will benefit a wide range of biomedical, industrial and other scientific applications.

摘要

光学相干断层扫描(OCT)是一种三维非侵入性高分辨率成像方式,已广泛应用于从医学诊断到工业检测等诸多领域。常见的OCT系统在轴向深度方向(几毫米)和横向方向(几厘米)的视野(FOV)有限,这限制了它们在具有大尺寸和不规则表面轮廓样本上的应用。虽然存在图像拼接技术,但通常最多限于3自由度(DOF)扫描。在这项工作中,我们提出了一种具有7自由度的机器人手臂辅助OCT系统,用于灵活的大视野3D成像。该系统由深度相机、机器人手臂和集成了RGB相机的微型OCT探头组成。深度相机用于大规模获取目标样本的空间信息,而RGB相机用于获取目标的精确位置以对准图像探头。最终,实时3D OCT成像用于确定探头相对于样本的相对姿态,并在必要时作为成像姿态优化的反馈。7自由度机器人手臂实现了灵活的探头姿态操纵。我们展示了一个原型系统,并给出了针对塑料管、人体手指模型和字母印章的具有数十倍扩大视野的灵活实验结果。预计机器人手臂辅助的灵活大视野OCT成像将惠及广泛的生物医学、工业和其他科学应用。

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