Full coverage path planning algorithm for MRgFUS therapy

Int J Med Robot. 2022 Jun;18(3):e2389. doi: 10.1002/rcs.2389. Epub 2022 Mar 13.

Abstract

Background: High-quality methods for Magnetic Resonance guided Focussed Ultrasound (MRgFUS) therapy planning are needed for safe and efficient clinical practices. Herein, an algorithm for full coverage path planning based on preoperative MR images is presented.

Methods: The software functionalities of an MRgFUS robotic system were enhanced by implementing the developed algorithm. The algorithm's performance in accurate path planning following a Zig-Zag pathway was assessed on MR images. The planned sonication paths were performed on acrylic films using the robotic system carrying a 2.75 MHz single element transducer.

Results: Ablation patterns were successfully planned on MR images and produced on acrylic films by overlapping lesions with excellent match between the planned and experimental lesion shapes.

Conclusions: The advanced software was proven efficient in planning and executing full ablation of any segmented target. The reliability of the algorithm could be enhanced through the development of a fully automated segmentation procedure.

Keywords: MRgFUS; algorithm; path planning; plastic films; segmentation.

MeSH terms

  • Algorithms
  • Humans
  • Magnetic Resonance Imaging* / methods
  • Magnetic Resonance Spectroscopy
  • Reproducibility of Results
  • Ultrasonic Therapy* / methods