Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/29916
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Filippou, Antria | - |
dc.contributor.author | Louca, Irene | - |
dc.contributor.author | Damianou, Christakis A. | - |
dc.date.accessioned | 2023-07-20T08:17:10Z | - |
dc.date.available | 2023-07-20T08:17:10Z | - |
dc.date.issued | 2023-06 | - |
dc.identifier.citation | Journal of ultrasound, 2023, vol. 26, no. 2, pp. 505-515 | en_US |
dc.identifier.issn | 19713495 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/29916 | - |
dc.description.abstract | Tissue-mimicking materials (TMMs) have a prominent role in validating new high intensity focused ultrasound (HIFU) therapies. Agar-based TMMs are often developed mimicking the thermal properties of muscle tissue, while TMMs simulating fat tissue properties are rarely developed. Herein, twelve agar-based TMMs were iteratively developed with varied concentrations of agar, water, glycerol and propan-2-ol, and characterized for their suitability in emulating the thermal conductivity of human fat tissue. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Ultrasound | en_US |
dc.rights | © Società Italiana di Ultrasonologia in Medicina e Biologia (SIUMB) | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | Fat | en_US |
dc.subject | HIFU | en_US |
dc.subject | Phantom | en_US |
dc.subject | TMM | en_US |
dc.subject | Thermal conductivity | en_US |
dc.title | Characterization of a fat tissue mimicking material for high intensity focused ultrasound applications | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/s40477-022-00746-4 | en_US |
dc.identifier.pmid | 36414928 | - |
dc.identifier.scopus | 2-s2.0-85142221565 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85142221565 | - |
dc.relation.issue | 2 | en_US |
dc.relation.volume | 26 | en_US |
cut.common.academicyear | 2022-2023 | en_US |
dc.identifier.spage | 505 | en_US |
dc.identifier.epage | 515 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-0424-2851 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.journal.journalissn | 1876-7931 | - |
crisitem.journal.publisher | Springer Nature | - |
Appears in Collections: | Άρθρα/Articles |
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