Visual servoing-based pneumatic hair transplantation mechanism for robotic FUE surgery

Fulin Jia, Shenghao Yang, Chenxi Han, Junye Li, Xuanru Han, Chao Zhang, Jiaole Wang
{"title":"Visual servoing-based pneumatic hair transplantation mechanism for robotic FUE surgery","authors":"Fulin Jia,&nbsp;Shenghao Yang,&nbsp;Chenxi Han,&nbsp;Junye Li,&nbsp;Xuanru Han,&nbsp;Chao Zhang,&nbsp;Jiaole Wang","doi":"10.1016/j.birob.2023.100128","DOIUrl":null,"url":null,"abstract":"<div><p>Hair transplantation surgery is an effective solution for hair loss problems, among which follicle unit extraction (FUE) surgery is more widely used and favored. At present, most hair transplantation surgeries still rely heavily on manual operation by doctors and very few hair transplantation robots with complex structures have been introduced. This paper proposes a pneumatic hair transplantation mechanism for FUE surgery, equipped with a camera, capable of automatically performing both hair implantation and extraction with airflow. This pneumatic method eliminates the complex needle structure, has the function of temporarily storing the follicles inside the needle, thus facilitating the automation of transferring follicles from extraction to implantation. Then a visual feedback system is proposed to accurately position the follicles during the transplantation. The experimental results show that average distance deviation between the actual and target positions is 0.6128 mm and the average deviation of hair implantation depth is 1.7176 mm, which verify the feasibility of the proposed system.</p></div>","PeriodicalId":100184,"journal":{"name":"Biomimetic Intelligence and Robotics","volume":"3 4","pages":"Article 100128"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667379723000426/pdfft?md5=034fe2b420e2a8a9edac240b27514f0c&pid=1-s2.0-S2667379723000426-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomimetic Intelligence and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667379723000426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Hair transplantation surgery is an effective solution for hair loss problems, among which follicle unit extraction (FUE) surgery is more widely used and favored. At present, most hair transplantation surgeries still rely heavily on manual operation by doctors and very few hair transplantation robots with complex structures have been introduced. This paper proposes a pneumatic hair transplantation mechanism for FUE surgery, equipped with a camera, capable of automatically performing both hair implantation and extraction with airflow. This pneumatic method eliminates the complex needle structure, has the function of temporarily storing the follicles inside the needle, thus facilitating the automation of transferring follicles from extraction to implantation. Then a visual feedback system is proposed to accurately position the follicles during the transplantation. The experimental results show that average distance deviation between the actual and target positions is 0.6128 mm and the average deviation of hair implantation depth is 1.7176 mm, which verify the feasibility of the proposed system.

基于视觉伺服的机器人FUE手术气动植发机构
毛发移植手术是解决脱发问题的有效方法,其中毛囊单位提取(FUE)手术应用更为广泛和受到青睐。目前,大多数植发手术仍然严重依赖于医生的人工操作,很少有结构复杂的植发机器人问世。本文提出了一种用于FUE手术的气动植发机构,该机构配备有摄像头,能够在气流的作用下自动进行植发和拔发。这种气动方法省去了复杂的针头结构,具有将卵泡暂时储存在针头内的功能,便于实现卵泡从提取到植入的自动化转移。然后提出了一种视觉反馈系统来精确定位移植过程中的卵泡。实验结果表明,实际位置与目标位置的平均距离偏差为0.6128 mm,植发深度的平均偏差为1.7176 mm,验证了该系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.80
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信