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Computer-Aided Intra-Operatory Positioning of an MRgHIFU Applicator Dedicated to Abdominal Thermal Therapy Using

Yacine M'Rad1, Caecilia Charbonnier2, Marcelo Elias de Oliveira2

  • 1University of Geneva, Faculty of MedicineImage Guided Interventions Laboratory (GR-949) CH-1211 Geneva Switzerland.

IEEE Open Journal of Engineering in Medicine and Biology
|July 25, 2024
PubMed
Summary

Optimizing transducer positioning for liver ablation using magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) is crucial. A new software tool, utilizing particle swarm optimization, accurately determines the theoretical optimal position, enhancing treatment efficiency and safety.

Keywords:
Computer-aided positioningHIFU transducernear-field safetyparticle swarm optimization (PSO)thermal therapy

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Area of Science:

  • Medical Physics
  • Biomedical Engineering
  • Interventional Radiology

Background:

  • Transducer positioning for MR-guided high-intensity focused ultrasound (MRgHIFU) liver ablation is complex.
  • Obstacles like air-filled organs and bone impede beam path, affecting treatment efficacy and safety.

Purpose of the Study:

  • To present a novel software tool for optimizing HIFU transducer positioning in abdominal thermal therapy.
  • To enhance treatment efficiency and minimize near-field risks during MRgHIFU liver ablation.

Main Methods:

  • A software tool was developed employing particle swarm optimization (PSO) to find the theoretical optimal position (TOP).
  • The system uses a cost function minimized iteratively with 2 degrees of freedom, considering critical parameters.
  • Validation involved comparing TOP with experimental positions (EP) using MR imaging data from in vivo pig liver HIFU ablation.

Main Results:

  • The TOP showed an average rotation difference of -3.1 ± 7.1° and a distance difference of -7.1 ± 5.4 mm compared to manual EP.
  • The software calculated the TOP in just 20 seconds.
  • The tool demonstrated modularity, consistency, and robustness across repeated calculations and varied initial positions.

Conclusions:

  • The developed software tool effectively optimizes HIFU transducer positioning for MRgHIFU liver ablation.
  • This approach improves treatment precision and safety by accurately determining the theoretical optimal position.
  • The tool offers a reliable and efficient solution for challenging abdominal thermal therapies.