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Related Experiment Videos

Preparation, assistance and imaging protocols for robotically assisted MR and CT- based procedures.

R Jantschke1, T Haas, Ph Madoerin

  • 1Interventional Radiology, Institute of Diagnostic Radiology, University of Basel, Basel, Switzerland. r.jantschke@uhbs.ch

Minimally Invasive Therapy & Allied Technologies : MITAT : Official Journal of the Society for Minimally Invasive Therapy
|September 1, 2007
PubMed
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The INNOMOTION system enhances precision for image-guided percutaneous interventions using MRI (MRT) and CT. This medical assistance system guides instrument positioning, improving accuracy for physicians during procedures.

Area of Science:

  • Medical Imaging and Interventional Radiology
  • Medical Device Technology

Background:

  • Percutaneous interventions require high accuracy in instrument positioning for effective and safe procedures.
  • Existing navigation and puncture assistance systems have limitations in achieving millimetre accuracy.
  • The Institute of Diagnostic Radiology in Basel sought an advanced solution for image-guided interventions.

Purpose of the Study:

  • To evaluate the INNOMOTION medical assistance system for millimetre-accurate instrument positioning.
  • To assess the system's role in improving targeting precision during image-guided percutaneous interventions (MRI and CT).
  • To explore the potential of INNOMOTION in surgical applications, including trauma surgery.

Main Methods:

  • Utilized the INNOMOTION system, developed by Innomedic, for instrument navigation and guidance.

Related Experiment Videos

  • Performed percutaneous interventions under Magnetic Resonance Imaging (MRT) and Computed Tomography (CT) guidance.
  • Focused on the learning curve phase, involving collaboration between radiologists and the manufacturer to refine the workflow.

    • Main Results:

    • The INNOMOTION system provides precise insertion angles and depths, enhancing physician control.
    • The system aims to replace current navigation and puncture assistance systems upon completion of its learning curve.
    • The article details the intervention execution from a radiology technician's perspective.

    Conclusions:

    • The INNOMOTION system demonstrates potential for achieving millimetre accuracy in image-guided interventions.
    • Continuous collaboration is key to optimizing the system's workflow for both interventional radiology and surgery.
    • The system supports physicians by providing guidance, maintaining their control over the intervention process.