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基于结构增强成像内窥镜的腹腔镜机器人手术缝合图谱

Suture Maps Based on Structural Enhanced Imaging Endoscope for Laparoscopic Robotic Surgery.

作者信息

Le Hanh N D, Wei Shuwen, Leonard Simon, Opfermann Justin, Krieger Axel, Kang Jin U

机构信息

Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218.

Department of Computer Science, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218.

出版信息

Conf Lasers Electro Optics. 2018;2018. doi: 10.1364/cleo_at.2018.jtu2a.106.

DOI:10.1364/cleo_at.2018.jtu2a.106
PMID:33521796
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7841646/
Abstract

A detection method for cutting scheme in 3D is proposed to assist robotic surgical manipulation, leading to an automatic suturing suggestion mapping.

摘要

提出了一种用于三维切割方案的检测方法,以辅助机器人手术操作,从而生成自动缝合建议映射。

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本文引用的文献

1
A demonstration of structured-illumination-based technique using commercial surgical endoscope.使用商用手术内窥镜的基于结构照明技术的演示。
Conf Lasers Electro Optics. 2017 May;2017. doi: 10.1364/CLEO_AT.2017.AW1A.4.
2
Supervised autonomous robotic soft tissue surgery.监督式自主机器人软组织手术。
Sci Transl Med. 2016 May 4;8(337):337ra64. doi: 10.1126/scitranslmed.aad9398.
3
Three-dimensional shape measurement with an arbitrarily arranged fringe projection profilometry system.使用任意排列的条纹投影轮廓测量系统进行三维形状测量。
Opt Lett. 2007 Aug 15;32(16):2438-40. doi: 10.1364/ol.32.002438.