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用于在插入孔口存在大变形的情况下借助自由手腕机器人进行靶向活检的实时估计器。

Real Time Estimator to Perform Targeted Biopsies With a Free-Wrist Robot Despite Large Deformations of the Insertion Orifice.

作者信息

Chalard Rémi, Fazel Afshin, Vitrani Marie-Aude

机构信息

AMPERE Laboratory, CNRS UMR 5005, INSA de Lyon, Lyon, France.

Departement de Gynécologie Obstétrique, Hopital Lariboisière, Université Paris Diderot et de l'APHP, Paris, France.

出版信息

Front Robot AI. 2021 Nov 15;8:780505. doi: 10.3389/frobt.2021.780505. eCollection 2021.

Abstract

In the context of keyhole surgery, and more particularly of uterine biopsy, the fine automatic movements of a surgical instrument held by a robot with 3 active DOF's require an exact knowledge of the point of rotation of the instrument. However, this center of rotation is not fixed and moves during an examination. This paper deals with a new method of detecting and updating the interaction matrix linking the movements of the robot with the surgical instrument. This is based on the method of updating the Jacobian matrix which is named the "Broyden method". It is able to take into account body tissue deformations in real time in order to improve the pointing task for automatic movements of a surgical instrument in an unknown environment.

摘要

在微创手术的背景下,尤其是子宫活检中,由具有3个主动自由度的机器人握持的手术器械的精细自动运动需要精确了解器械的旋转点。然而,这个旋转中心不是固定的,在检查过程中会移动。本文探讨了一种检测和更新将机器人运动与手术器械相联系的相互作用矩阵的新方法。这是基于更新雅可比矩阵的方法,即“布罗伊登方法”。它能够实时考虑身体组织变形情况,以便在未知环境中改善手术器械自动运动的指向任务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5af/8634846/e2d4d4975737/frobt-08-780505-g001.jpg

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