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Abstract #4849

Development and Evaluation of an MRI-Guided Robotic System for Sacroiliac Joint Injections

Wolfgang Loew1,2, Reza Monfaredi3, Gang Li3, Charles Dumoulin1,2, Iulian Iordachita4, Karun Sharma5,6,7,8, and Kevin Cleary3
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States, 3The Sheik Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, United States, 4Johns Hopkins University, Whiting School of Engineering, Baltimore, MD, United States, 5Department of Radiology, Children’s National Hospital, Washington, DC, United States, 6George Washington University School of Medicine and Health Sciences, Washington, DC, United States, 7Department of Pediatrics, Children’s National Hospital, Washington, DC, United States, 8Department of Pediatrics, George Washington University School of Medicine and Health Sciences, Washington, DC, United States

Synopsis

Keywords: MR-Guided Interventions, Interventional Devices

Motivation: To enable an in-vivo study in a cohort of 10 patients: Male or female, ages 12 to 21, to perform MR guided robotic sacroiliac joint injections.

Goal(s): Confirm device performance of the proposed imaging study and confirm safety of the imaging coil for an Investigational Device Exemption (IDE) submission.

Approach: Conduct phantom and cadaver studies to evaluate the devices targeting performance and utilize electromagnetic simulations to visualize electromagnetic fields and measure temperature increase at E-field maxima with fiber optic temperature sensors.

Results: Accurate needle placement under MRI guidance and RF safety of the imaging coil were demonstrated.

Impact: Minimally invasive injections through small needles are an essential tool in pain management for the diagnosis and treatment of chronic pain. High success requires good visualization of the targeted nerve and accurate needle placement which MRI-guided robotic intervention will provide.

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