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Related Experiment Video

Updated: May 14, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

Tracking and position control of an MRI-powered needle-insertion robot.

Christos Bergeles1, Lei Qin, Panagiotis Vartholomeos

  • 1Cardiovascular Surgery, Children’s Hospital Boston, Harvard Medical School, Boston, MA 02115, USA. Christos.Bergeles@childrens.harvard.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
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This study introduces an MRI-powered surgical robot for automated procedures. The robot uses MRI pulses for imaging and actuation, enabling precise needle insertion with optimized tracking and control.

Area of Science:

  • Medical Robotics
  • Magnetic Resonance Imaging (MRI) Applications

Background:

  • MRI is increasingly used for interventional procedures.
  • Existing MRI-compatible robots use traditional actuation.
  • A novel MRI-powered robot offers integrated imaging and actuation.

Purpose of the Study:

  • To report on the tracking and control of an MRI-powered robot.
  • To advance towards automated surgical procedures using MRI technology.
  • To optimize an algorithm for robot tracking and control within an MRI environment.

Main Methods:

  • Tracking an MRI-powered robot using non-selective RF pulses and balanced gradient readouts.
  • Implementing spoiler gradients and background suppression to improve signal-to-noise ratio.
  • Utilizing a Kalman filter for enhanced tracking robustness.

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Manipulation of Single Neural Stem Cells and Neurons in Brain Slices using Robotic Microinjection
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Last Updated: May 14, 2026

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Remote Magnetic Navigation for Accurate, Real-time Catheter Positioning and Ablation in Cardiac Electrophysiology Procedures
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Main Results:

  • Quantified the effects of tracking optimization techniques.
  • Demonstrated position-controlled needle insertion ex vivo using the developed algorithm.
  • Showcased the robot's capability to generate adequate forces for tissue puncture.

Conclusions:

  • The developed tracking and control algorithm is effective for MRI-powered robots.
  • This technology shows promise for automated interventional procedures.
  • Further optimization can enhance the precision and reliability of MRI-guided robotic surgery.