Laser Incision Depth Control in Robot-Assisted Soft Tissue Microsurgery

Author:

Acemoglu Alperen1,Fichera Loris12,Kepiro Ibolya E.345,Caldwell Darwin G.1,Mattos Leonardo S.1

Affiliation:

1. Department of Advanced Robotics, Istituto Italiano di Tecnologia, Via Morego, 30, Genoa, 16163, Italy

2. Department of Mechanical Engineering, Vanderbilt University, 2301 Vanderbilt Place, PMB 351592, Nashville, TN 37235, United States

3. Nanoscopy & Nanobiophotonics, Department of Nanophysics, Istituto Italiano di Tecnologia, Via Morego, 30, Genoa, 16163, Italy

4. National Physical Laboratory (NPL), Hampton Rd, Teddington, Middlesex, TW11 0LW, United Kingdom

5. Faculty of Science, Engineering and Computing, Kingston University, Penrhyn Rd, Kingston-upon-Thames, London, KT2 1EE, United Kingdom

Abstract

This paper presents the concept of a technology for the automation of laser incisions on soft tissue, especially for application in Transoral Laser Microsurgery (TLM) interventions. The technology aims at automatically controlling laser incisions based on high-level commands from the surgeon, i.e. desired incision shape, length and depth. It is based on a recently developed robotic laser microsurgery platform, which offers the controlled motion of the laser beam on the surgical site. A feed-forward controller provides (i) commands to the robotic laser aiming system and (ii) regulates the parameters of the laser source to achieve the desired results. The controller for the incision depth is extracted from experimental data. The required energy density and the number of passes are calculated to reach the targeted depth. Experimental results demonstrate that targeted depths can be achieved with [Formula: see text]m accuracy, which proves the feasibility of this approach. The proposed technology has the potential to facilitate the surgeon’s control over laser incisions.

Publisher

World Scientific Pub Co Pte Lt

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3