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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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Magnetic Resonance-Guided Stereotaxy for Infusions to the Pig Brain
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Tracking planar orientations of active MRI needles.

Shashank Sathyanarayana1, Pelin Aksit, Aravind Arepally

  • 1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Journal of Magnetic Resonance Imaging : JMRI
|July 5, 2007
PubMed
Summary

This study introduces an image-based tracking method to determine the planar orientation of active interventional devices. This technique accurately guides procedures like transvascular needle catheterization without needing specialized RF microcoils.

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Area of Science:

  • Medical Imaging
  • Interventional Radiology
  • Surgical Navigation

Background:

  • Accurate real-time tracking of active interventional devices is crucial for minimally invasive procedures.
  • Current methods often rely on localizing radiofrequency (RF) microcoils, which can add complexity and cost.
  • A need exists for alternative, image-based tracking solutions that enhance procedural accuracy and efficiency.

Purpose of the Study:

  • To develop and validate an image-based method for determining and tracking the planar orientation of active interventional devices.
  • To eliminate the requirement for localizing RF microcoils in device orientation tracking.
  • To assess the feasibility of this method in a relevant in vivo model.

Main Methods:

  • Developed an image-based tracking system utilizing projection images to ascertain device orientation.
  • Implemented both automated and manual detection schemes for device localization.
  • Demonstrated the method in an in vivo swine model during a mesocaval puncture procedure requiring precise catheter navigation.

Main Results:

  • Successfully determined the planar orientation of the catheter using two projection images.
  • Achieved automatic adjustment of the scan plane to dynamically track the catheter's orientation.
  • Displayed the device's orientation relative to a pre-established target plane, facilitating navigation.
  • The algorithm enabled a fast and accurate puncture during the in vivo procedure.

Conclusions:

  • Image-based techniques can effectively track the orientation of active intravascular probes without necessitating mechanical design modifications.
  • This approach offers a non-invasive and potentially more accessible alternative for interventional device navigation.
  • The developed method shows promise for improving the precision and safety of image-guided interventions.