Development of an US, MRI, and CT imaging compatible realistic mouse phantom for thermal ablation and focused ultrasound evaluation.


Journal

Ultrasonics
ISSN: 1874-9968
Titre abrégé: Ultrasonics
Pays: Netherlands
ID NLM: 0050452

Informations de publication

Date de publication:
May 2023
Historique:
received: 30 06 2022
revised: 09 11 2022
accepted: 10 02 2023
pubmed: 1 3 2023
medline: 16 3 2023
entrez: 28 2 2023
Statut: ppublish

Résumé

Tissue mimicking phantoms (TMPs) play an essential role in modern biomedical research as cost-effective quality assurance and training tools, simultaneously contributing to the reduction of animal use. Herein, we present the development and evaluation of an anatomically accurate mouse phantom intended for image-guided thermal ablation and Focused Ultrasound (FUS) applications. The proposed mouse model consists of skeletal and soft tissue mimics, whose design was based on the Computed tomography (CT) scans data of a live mouse. Advantageously, it is compatible with US, CT, and Magnetic Resonance Imaging (MRI). The compatibility assessment was focused on the radiological behavior of the phantom due to the lack of relevant literature. The X-ray linear attenuation coefficient of candidate materials was estimated to assess the one that matches best the radiological behavior of living tissues. The bone part was manufactured by Fused Deposition Modeling (FDM) printing using Acrylonitrile styrene acrylate (ASA) material. For the soft-tissue mimic, a special mold was 3D printed having a cavity with the unique shape of the mouse body and filled with an agar-based silica-doped gel. The mouse phantom accurately matched the size and reproduced the body surface of the imaged mouse. Tissue-equivalency in terms of X-ray attenuation was demonstrated for the agar-based soft-tissue mimic. The phantom demonstrated excellent MRI visibility of the skeletal and soft-tissue mimics. Good radiological contrast between the skeletal and soft-tissue models was also observed in the CT scans. The model was also able to reproduce realistic behavior during trans-skull sonication as proved by thermocouple measurements. Overall, the proposed phantom is inexpensive, ergonomic, and realistic. It could constitute a powerful tool for image-guided thermal ablation and FUS studies in terms of testing and optimizing the performance of relevant equipment and protocols. It also possess great potential for use in transcranial FUS applications, including the emerging topic of FUS-mediated blood brain barrier (BBB) disruption.

Identifiants

pubmed: 36854247
pii: S0041-624X(23)00031-8
doi: 10.1016/j.ultras.2023.106955
pii:
doi:

Substances chimiques

Agar 9002-18-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106955

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

Anastasia Antoniou (A)

Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus. Electronic address: am.antoniou@edu.cut.ac.cy.

Anastasia Nikolaou (A)

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

Andreas Georgiou (A)

Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus. Electronic address: andreas-georgiou1@outlook.com.

Nikolas Evripidou (N)

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

Christakis Damianou (C)

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

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Classifications MeSH