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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Author Spotlight: Development of a Standardized Acupuncture Tool Inspired by Advanced Techniques for Improved Safety and Precision
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EVALUATION OF NEEDLE DRIVER DESIGNS FOR ROBOT-ASSISTED NEEDLE INSERTIONS UNDER MRI GUIDANCE.

Guanyun Liu1, Yanzhou Wang1, Gang Li2

  • 1Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD.

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Researchers evaluated two new detachable MR-Conditional needle drivers for robotic spinal injections. These designs allow for intraoperative attachment, crucial for advancing robotic surgery workflows.

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Area of Science:

  • Medical Robotics
  • Magnetic Resonance Imaging (MRI)
  • Surgical Navigation

Background:

  • MRI-guided spinal injections require precise instrument control.
  • Existing robotic platforms may benefit from intraoperative tool exchange capabilities.
  • Detachable, MR-Conditional tools are essential for seamless integration within the MRI environment.

Purpose of the Study:

  • To evaluate two novel detachable needle driver designs for a 4-degree-of-freedom (DOF) robotic platform.
  • To assess the feasibility of intraoperative needle driver attachment during MRI-guided procedures.
  • To compare the force and torque requirements of two designs for optimal clinical workflow integration.

Main Methods:

  • Evaluation of two detachable MR-Conditional needle driver designs.
  • Measurement of forces and torques during needle driver attachment.
  • Simulation of a clinical scenario to assess robot positional changes during tool attachment.

Main Results:

  • Quantification of forces and torques for two distinct needle driver designs.
  • Assessment of positional stability of the 4-DOF robotic platform during simulated intraoperative tool attachment.
  • Identification of design suitability based on attachment mechanics and positional impact.

Conclusions:

  • The study provides critical data for selecting the optimal needle driver design for intraoperative attachment.
  • Findings guide the development of clinical workflows for body-mounted robotic surgical devices in MRI environments.
  • This research contributes to the advancement of robotic-assisted spinal interventions within MRI scanners.