Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/22747
DC FieldValueLanguage
dc.contributor.authorAlekou, Tereza-
dc.contributor.authorGiannakou, Marinos-
dc.contributor.authorDamianou, Christakis A.-
dc.date.accessioned2021-06-22T06:56:56Z-
dc.date.available2021-06-22T06:56:56Z-
dc.date.issued2021-02-
dc.identifier.citationUltrasonics, 2021, vol. 110, articl. no. 106244en_US
dc.identifier.issn0041624X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/22747-
dc.description.abstractIn this paper a high intensity focused ultrasound (FUS) phantom model was developed, in order to be used in experiments for Blood Brain Barrier (BBB) disruption. The target was to create a phantom model that represents the disruption of the BBB during ultrasound application. An appropriate experimental setup was created bearing a single element transducer with diameter 50 mm and geometric focus 100 mm operating at 0.5 MHz. It included a set of tubes and a connector with multiple 0.4 mm openings, through which a suitable liquid is being circulated with a pump. The lesions were sealed with a thin homogenous layer of wax, preventing a liquid leakage. The system was tested successfully with FUS and a liquid leakage was achieved after FUS application. This set up is the first phantom model that has the potential to be utilized as a cost-effective solution for performing experiments for BBB disruption, without the need of using animal models.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofUltrasonicsen_US
dc.rights© Elsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBBBen_US
dc.subjectFUSen_US
dc.subjectPhantomen_US
dc.subjectUltrasounden_US
dc.titleFocused ultrasound phantom model for blood brain barrier disruptionen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryClinical Medicineen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.ultras.2020.106244en_US
dc.identifier.pmid32942090-
dc.identifier.scopus2-s2.0-85090844895-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85090844895-
dc.relation.volume110en_US
cut.common.academicyear2020-2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypearticle-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-0424-2851-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.journal.journalissn0041-624X-
crisitem.journal.publisherElsevier-
Appears in Collections:Άρθρα/Articles
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

5
checked on Feb 2, 2024

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
checked on Oct 29, 2023

Page view(s)

241
Last Week
1
Last month
10
checked on May 21, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons