[1]汪 祥,陈 柏,鞠 锋.机器人辅助腹腔镜手术中的视觉测量方法研究[J].机械与电子,2021,(09):60-65.
 WANG Xiang,CHEN Bai,JU Feng.Research on the Method of Visual Measurementin Robot-assisted Laparoscopic Surgery[J].Machinery & Electronics,2021,(09):60-65.
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机器人辅助腹腔镜手术中的视觉测量方法研究()
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机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2021年09期
页码:
60-65
栏目:
智能工程
出版日期:
2021-09-24

文章信息/Info

Title:
Research on the Method of Visual Measurementin Robot-assisted Laparoscopic Surgery
文章编号:
1001-2257 ( 2021 ) 09-0060-06
作者:
汪 祥陈 柏鞠 锋
南京航空航天大学机电学院,江苏 南京 210016
Author(s):
WANG Xiang CHEN Bai JU Feng
( College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China )
关键词:
机器人视觉视觉测量视觉追踪腹腔镜
Keywords:
robot vision visual measurement visual tracking laparoscope
分类号:
TP242.6
文献标志码:
A
摘要:
针对目前机器人辅助腹腔镜手术中内窥镜仅被用于二维的视觉监测而缺乏三维位姿检测功能的缺陷,提出了一种基于求解共线 P n P (Perspective-n-Point )问题的手术器械位姿测量方案,测试了所提出的测量方法的精度并进行了误差分析.方案包括相机标定及畸变校正、标记设计、图像处理、标记点三维坐标计算和手术器械的三维表达.经测试,手术器械中心线的固定位置和单位方向向量的测量值的偏差低、精度较高.
Abstract:
In view of the status that currently the endoscope in robot-assisted laparoscopic surgery is only used for two-dimensional visual monitoring but lacks the function of detecting three-dimensional displacement and orientation , an approach of measuring the position of surgical instruments based on the solution of colinear PnP ( Perspective-n-Point ) problem was proposed , the precision of the method was tested and the error was analysed.The approach includes camera calibration and distortion correction , mark design , image processing , three-dimensional coordinate calculation of mark points , and three-dimensional expression of surgical instruments.After testing , the measurements of the fixed position on the center line of the surgical instrument and the unit direction vector of the center line are low-deviation and high-precision.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-05-27
基金项目:国家自然科学基金项目( 51575256 );国家自然科学基金项目(61973335 );江苏省自然科学基金项目( BK20191272 )
作者简介:汪 祥 ( 1996- ),男,安徽六安人,硕士研究生,研究方向为手术机器人、视觉伺服;陈 柏 ( 1978- ),男,江苏泰州人,博士,教授,研究方向为医疗机器人,通信作者.
更新日期/Last Update: 2021-10-08