Advanced software for MRgFUS treatment planning.


Journal

Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 12 02 2023
revised: 18 07 2023
accepted: 18 07 2023
medline: 29 8 2023
pubmed: 23 7 2023
entrez: 22 7 2023
Statut: ppublish

Résumé

Herein, a user-friendly software platform for 3-dimensional Focused Ultrasound treatment planning based on Magnetic Resonance Imaging (MRI) images is presented. The software directly retrieves and loads MRI images. Various design tools can be used on the MRI images to define the treatment area and the sonication parameters. Based on the treatment plan, the software controls the robotic motion and motion pattern of Magnetic Resonance guided Focused Ultrasound (MRgFUS) robotic systems to execute the treatment procedure. Real-time treatment monitoring is achieved through MRI images and thermometry. The software's functionality and performance were evaluated in both laboratory and MRI environments. Different treatment plans were designed on MRI images and sonications were executed on agar-based phantoms and polymer films. Magnetic Resonance (MR) thermometry maps were acquired in the agar-based phantoms. An exceptional agreement was observed between the software-planned treatment area and the lesions produced on the polymer films. The developed software was successfully integrated with the MRI and robotic system controls for performing accurate treatment planning and real-time monitoring during sonications. The software provides an extremely user-friendly interface, while in the future it could be enhanced by providing dynamic modulation of the ultrasonic parameters during the treatment process.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Herein, a user-friendly software platform for 3-dimensional Focused Ultrasound treatment planning based on Magnetic Resonance Imaging (MRI) images is presented.
METHODS METHODS
The software directly retrieves and loads MRI images. Various design tools can be used on the MRI images to define the treatment area and the sonication parameters. Based on the treatment plan, the software controls the robotic motion and motion pattern of Magnetic Resonance guided Focused Ultrasound (MRgFUS) robotic systems to execute the treatment procedure. Real-time treatment monitoring is achieved through MRI images and thermometry. The software's functionality and performance were evaluated in both laboratory and MRI environments. Different treatment plans were designed on MRI images and sonications were executed on agar-based phantoms and polymer films.
RESULTS RESULTS
Magnetic Resonance (MR) thermometry maps were acquired in the agar-based phantoms. An exceptional agreement was observed between the software-planned treatment area and the lesions produced on the polymer films.
CONCLUSIONS CONCLUSIONS
The developed software was successfully integrated with the MRI and robotic system controls for performing accurate treatment planning and real-time monitoring during sonications. The software provides an extremely user-friendly interface, while in the future it could be enhanced by providing dynamic modulation of the ultrasonic parameters during the treatment process.

Identifiants

pubmed: 37480647
pii: S0169-2607(23)00392-9
doi: 10.1016/j.cmpb.2023.107726
pii:
doi:

Substances chimiques

Agar 9002-18-0
Polymers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107726

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Antria Filippou (A)

Cyprus University of Technology, Department of Electrical Engineering, Computer Engineering, and Informatics, 30 Archbishop Kyprianou Str., Limassol 3036, Cyprus. Electronic address: ap.filippou@edu.cut.ac.cy.

Andreas Georgiou (A)

Cyprus University of Technology, Department of Electrical Engineering, Computer Engineering, and Informatics, 30 Archbishop Kyprianou Str., Limassol 3036, Cyprus.

Anastasia Nikolaou (A)

Cyprus University of Technology, Department of Electrical Engineering, Computer Engineering, and Informatics, 30 Archbishop Kyprianou Str., Limassol 3036, Cyprus. Electronic address: ann.nikolaou@edu.cut.ac.cy.

Nikolas Evripidou (N)

Cyprus University of Technology, Department of Electrical Engineering, Computer Engineering, and Informatics, 30 Archbishop Kyprianou Str., Limassol 3036, Cyprus. Electronic address: nk.evripidou@edu.cut.ac.cy.

Christakis Damianou (C)

Cyprus University of Technology, Department of Electrical Engineering, Computer Engineering, and Informatics, 30 Archbishop Kyprianou Str., Limassol 3036, Cyprus. Electronic address: christakis.damianou@cut.ac.cy.

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Classifications MeSH