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 language | English (US) |
|---|---|
| Pages (from-to) | 901-909 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Medical Robotics and Bionics |
| Volume | 4 |
| Issue number | 4 |
| DOIs | |
| State | Published - Nov 1 2022 |
| Externally published | Yes |
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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