Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13865
DC FieldValueLanguage
dc.contributor.authorHynynen, K.-
dc.contributor.authorVykhodtseva, N. I.-
dc.contributor.authorDamianou, Christakis A.-
dc.date.accessioned2019-05-31T08:06:26Z-
dc.date.available2019-05-31T08:06:26Z-
dc.date.issued1994-01-01-
dc.identifier.citationUltrasound in Medicine and Biology, 1994, vol. 20, no. 9, pp. 987-1000en_US
dc.identifier.issn0301-5629-
dc.description.abstractThe goal of this study was to establish the exposure parameters that will generate predictable thermally induced lesions in brain. In addition, the accuracy of a theoretical model for prediction of the lesion size was tested. To do this, 160 adult rabbits were sonicated (frequency 0.936 and 1.72 MHz) and then sacrificed at various intervals after the sonications. The results showed that predictable thermal lesions could be induced if the exposure durations were between 0.5 and 2 s. Dimensions of the necrosed tissue volume were roughly predictable by the theoretical calculations based on purely thermal effects. Shorter sonications required higher intensities (above 3700 W cm-2 at 1.72 MHz) resulting in mechanical effects with extensive vascular damage. Lesion size varied more at longer exposures (5 and 10 s), perhaps due to the increased effect of tissue perfusion. As a conclusion, focused ultrasound can be used for destruction of tissues deep in brain without causing undesirable mechanical effects, if the exposure parameters are selected properly. © 1994.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofUltrasound in Medicine and Biologyen_US
dc.rights© Elsevieren_US
dc.subjectBio-effectsen_US
dc.subjectBrainen_US
dc.subjectCavitationen_US
dc.subjectSurgeryen_US
dc.subjectTissue necrosisen_US
dc.subjectUltrasounden_US
dc.titlePulse duration and peak intensity during focused ultrasound surgery: Theoretical and experimental effects in rabbit brain in vivoen_US
dc.typeArticleen_US
dc.collaborationRussian Academy of Medical Sciencesen_US
dc.collaborationUniversity of Arizona Health Sciences Centeren_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryRussiaen_US
dc.countryUSAen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/0301-5629(94)90058-2en_US
dc.identifier.pmid20en
dc.identifier.scopus2-s2.0-0028575661en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0028575661en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.issue9en_US
dc.relation.volume20en_US
cut.common.academicyear1995-1996en_US
dc.identifier.spage987en_US
dc.identifier.epage1000en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.journal.journalissn0301-5629-
crisitem.journal.publisherElsevier-
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-
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