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Fluoroscopy-Guided Robotic System for Transforaminal Lumbar Epidural Injections

  • Cong Gao
  • , Henry Phalen
  • , Adam Margalit
  • , Justin H. Ma
  • , Ping Cheng Ku
  • , Mathias Unberath
  • , Russell H. Taylor
  • , Amit Jain
  • , Mehran Armand

Research output: Contribution to journalArticlepeer-review

Abstract

We present an autonomous robotic spine needle injection system using fluoroscopic image-based navigation. Our system includes patient-specific planning, intra-operative image-based 2D/3D registration and navigation, and automatic robot-guided needle injection. We performed intensive simulation studies to validate the registration accuracy. We achieved a mean spine vertebrae registration error of 0.8± 0.3 mm, 0.9± 0.7 degrees, mean injection device registration error of 0.2± 0.6 mm, 1.2± 1.3 degrees, in translation and rotation, respectively. We then conducted cadaveric studies comparing our system to an experienced clinician's free-hand injections. We achieved a mean needle tip translational error of 5.1±2.4 mm and needle orientation error of 3.6±1.9 degrees for robotic injections, compared to 7.6± 2.8 mm and 9.9± 4.7 degrees for clinician's free-hand injections, respectively. During injections, all needle tips were placed within the defined safety zones for this application. The results suggest the feasibility of using our image-guided robotic injection system for spinal orthopedic applications.

Original languageEnglish (US)
Pages (from-to)901-909
Number of pages9
JournalIEEE Transactions on Medical Robotics and Bionics
Volume4
Issue number4
DOIs
StatePublished - Nov 1 2022
Externally publishedYes

Keywords

  • 2D/3D registration
  • robot-assisted orthopedic surgery
  • robotic spine injection
  • X-ray navigation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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