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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9286630 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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