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The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
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Full coverage path planning algorithm for MRgFUS therapy.

Anastasia Antoniou1, Andreas Georgiou1, Nikolas Evripidou1

  • 1Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus.

The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS
|March 8, 2022
PubMed
Summary
This summary is machine-generated.

This study presents an algorithm for Magnetic Resonance guided Focussed Ultrasound (MRgFUS) therapy planning. The developed software enables efficient and accurate full ablation of segmented targets, improving treatment safety.

Keywords:
MRgFUSalgorithmpath planningplastic filmssegmentation

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Area of Science:

  • Medical Imaging
  • Ultrasound Therapy
  • Robotic Surgery

Background:

  • High-quality Magnetic Resonance guided Focussed Ultrasound (MRgFUS) therapy planning is crucial for safe and efficient clinical applications.
  • Current methods require robust algorithms for precise treatment delivery.

Purpose of the Study:

  • To present a novel algorithm for full coverage path planning in MRgFUS therapy.
  • To enhance MRgFUS robotic system software with this planning algorithm.

Main Methods:

  • Developed a full coverage path planning algorithm utilizing preoperative MR images.
  • Implemented the algorithm into an MRgFUS robotic system.
  • Assessed path planning accuracy on MR images and validated sonication paths on acrylic films using a 2.75 MHz transducer.

Main Results:

  • Successfully planned ablation patterns on MR images.
  • Produced overlapping lesions on acrylic films, demonstrating excellent agreement between planned and experimental shapes.
  • Validated the algorithm's capability for precise lesion creation.

Conclusions:

  • The enhanced software efficiently plans and executes full ablation of segmented targets.
  • The algorithm's reliability can be further improved with automated segmentation procedures.
  • This approach advances MRgFUS therapy planning and execution.