{"title":"单臂,单镜头自动缝合系统","authors":"S. Iyer, T. Looi, J. Drake","doi":"10.1109/ICRA.2013.6630582","DOIUrl":null,"url":null,"abstract":"In this paper, a novel approach for automated suturing is introduced and experimental results are presented. Unlike other similar works, the proposed approach adopts a single arm to implement a suturing task with a standard laparoscopic needle holder and curved suture needle. 3D information is obtained from a clinical (single camera) endoscope through an elliptical/circular pose measurement algorithm, which dynamically tracks the suture needle and surface markers. This drives robotic needle steering through a set of surgeon-defined entry/exit points on a tissue pad phantom. Implementation results indicate good depth resolution (1.5mm) and task repeatability (85%) for a variety of consistency, lighting, and location variation scenarios.","PeriodicalId":259746,"journal":{"name":"2013 IEEE International Conference on Robotics and Automation","volume":"405 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":"{\"title\":\"A single arm, single camera system for automated suturing\",\"authors\":\"S. Iyer, T. Looi, J. Drake\",\"doi\":\"10.1109/ICRA.2013.6630582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel approach for automated suturing is introduced and experimental results are presented. Unlike other similar works, the proposed approach adopts a single arm to implement a suturing task with a standard laparoscopic needle holder and curved suture needle. 3D information is obtained from a clinical (single camera) endoscope through an elliptical/circular pose measurement algorithm, which dynamically tracks the suture needle and surface markers. This drives robotic needle steering through a set of surgeon-defined entry/exit points on a tissue pad phantom. Implementation results indicate good depth resolution (1.5mm) and task repeatability (85%) for a variety of consistency, lighting, and location variation scenarios.\",\"PeriodicalId\":259746,\"journal\":{\"name\":\"2013 IEEE International Conference on Robotics and Automation\",\"volume\":\"405 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"38\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRA.2013.6630582\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRA.2013.6630582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A single arm, single camera system for automated suturing
In this paper, a novel approach for automated suturing is introduced and experimental results are presented. Unlike other similar works, the proposed approach adopts a single arm to implement a suturing task with a standard laparoscopic needle holder and curved suture needle. 3D information is obtained from a clinical (single camera) endoscope through an elliptical/circular pose measurement algorithm, which dynamically tracks the suture needle and surface markers. This drives robotic needle steering through a set of surgeon-defined entry/exit points on a tissue pad phantom. Implementation results indicate good depth resolution (1.5mm) and task repeatability (85%) for a variety of consistency, lighting, and location variation scenarios.