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Full coverage path planning algorithm for MRgFUS therapy

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...

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Autores principales: Antoniou, Anastasia, Georgiou, Andreas, Evripidou, Nikolas, Damianou, Christakis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286630/
https://www.ncbi.nlm.nih.gov/pubmed/35257476
http://dx.doi.org/10.1002/rcs.2389
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author Antoniou, Anastasia
Georgiou, Andreas
Evripidou, Nikolas
Damianou, Christakis
author_facet Antoniou, Anastasia
Georgiou, Andreas
Evripidou, Nikolas
Damianou, Christakis
author_sort Antoniou, Anastasia
collection PubMed
description 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.
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spelling pubmed-92866302022-07-19 Full coverage path planning algorithm for MRgFUS therapy Antoniou, Anastasia Georgiou, Andreas Evripidou, Nikolas Damianou, Christakis Int J Med Robot Original Articles 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. John Wiley and Sons Inc. 2022-03-13 2022-06 /pmc/articles/PMC9286630/ /pubmed/35257476 http://dx.doi.org/10.1002/rcs.2389 Text en © 2022 Cyprus University of Technology. The International Journal of Medical Robotics and Computer Assisted Surgery on behalf of John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Antoniou, Anastasia
Georgiou, Andreas
Evripidou, Nikolas
Damianou, Christakis
Full coverage path planning algorithm for MRgFUS therapy
title Full coverage path planning algorithm for MRgFUS therapy
title_full Full coverage path planning algorithm for MRgFUS therapy
title_fullStr Full coverage path planning algorithm for MRgFUS therapy
title_full_unstemmed Full coverage path planning algorithm for MRgFUS therapy
title_short Full coverage path planning algorithm for MRgFUS therapy
title_sort full coverage path planning algorithm for mrgfus therapy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286630/
https://www.ncbi.nlm.nih.gov/pubmed/35257476
http://dx.doi.org/10.1002/rcs.2389
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