Full coverage path planning algorithm for MRgFUS therapy
© 2022 Cyprus University of Technology. The International Journal of Medical Robotics and Computer Assisted Surgery on behalf of John Wiley & Sons Ltd..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:18 |
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| Enthalten in: |
The international journal of medical robotics + computer assisted surgery : MRCAS - 18(2022), 3 vom: 04. Juni, Seite e2389 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Antoniou, Anastasia [VerfasserIn] |
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| Links: |
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| Themen: |
Algorithm |
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| Anmerkungen: |
Date Completed 26.04.2022 Date Revised 31.07.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1002/rcs.2389 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM337884706 |
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| 100 | 1 | |a Antoniou, Anastasia |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Full coverage path planning algorithm for MRgFUS therapy |
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| 500 | |a Date Revised 31.07.2022 | ||
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022 Cyprus University of Technology. The International Journal of Medical Robotics and Computer Assisted Surgery on behalf of John Wiley & Sons Ltd. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a MRgFUS | |
| 650 | 4 | |a algorithm | |
| 650 | 4 | |a path planning | |
| 650 | 4 | |a plastic films | |
| 650 | 4 | |a segmentation | |
| 700 | 1 | |a Georgiou, Andreas |e verfasserin |4 aut | |
| 700 | 1 | |a Evripidou, Nikolas |e verfasserin |4 aut | |
| 700 | 1 | |a Damianou, Christakis |e verfasserin |4 aut | |
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