Alexander D. Smith;Anant Naik;Suguna Pappu;Paul M. Arnold;Kris Hauser
{"title":"A Low-Cost Articulated Arm Navigation System for External Ventricular Drain Placement","authors":"Alexander D. Smith;Anant Naik;Suguna Pappu;Paul M. Arnold;Kris Hauser","doi":"10.1109/TMRB.2025.3573390","DOIUrl":null,"url":null,"abstract":"Objective: This paper proposes a low-cost real-time navigation system to assist a surgeon in placing external ventricular drains. Methods: In our approach, the base of an articulated arm coordinate measuring machine is bolted to the patient’s skull, and a graphical user interface quickly guides the operator through the image registration and 3D navigation to place an external ventricular drain at a desired target specified relative to preoperative imaging. The method can be employed in workflows with and without fiducials embedded in the preoperative imaging. Results: The proposed system is evaluated using precise registration instruments, human phantom models, and ex vivo ovine models, demonstrating less than 2 mm of error with fiducials and less than 4 mm of error without fiducials. Conclusion: The registration procedure takes less than one minute and can be performed intuitively by a single operator without an assistant. Significance: Our proposed system enables real-time image-guided navigation to be used in bedside external ventricular drain placement, with potential to expand access to this procedure.","PeriodicalId":73318,"journal":{"name":"IEEE transactions on medical robotics and bionics","volume":"7 3","pages":"1087-1098"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11015586","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on medical robotics and bionics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11015586/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This paper proposes a low-cost real-time navigation system to assist a surgeon in placing external ventricular drains. Methods: In our approach, the base of an articulated arm coordinate measuring machine is bolted to the patient’s skull, and a graphical user interface quickly guides the operator through the image registration and 3D navigation to place an external ventricular drain at a desired target specified relative to preoperative imaging. The method can be employed in workflows with and without fiducials embedded in the preoperative imaging. Results: The proposed system is evaluated using precise registration instruments, human phantom models, and ex vivo ovine models, demonstrating less than 2 mm of error with fiducials and less than 4 mm of error without fiducials. Conclusion: The registration procedure takes less than one minute and can be performed intuitively by a single operator without an assistant. Significance: Our proposed system enables real-time image-guided navigation to be used in bedside external ventricular drain placement, with potential to expand access to this procedure.