Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/13864
DC FieldValueLanguage
dc.contributor.authorIosif, Dimitris-
dc.contributor.authorCouppis, Andreas-
dc.contributor.authorDamianou, Christakis A.-
dc.contributor.authorMylonas, Nicos-
dc.contributor.authorHadjisavas, Venediktos-
dc.contributor.authorIoannides, Kleanthis-
dc.date.accessioned2019-05-31T08:06:22Z-
dc.date.available2019-05-31T08:06:22Z-
dc.date.issued2009-12-01-
dc.identifier.citation9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009en_US
dc.identifier.isbn978-142445379-5-
dc.description.abstractThe effectiveness of magnetic resonance imaging (MRI) to monitor thermal lesions created by High Intensity Focused Ultrasound (HIFU) in rabbit liver in vivo is investigated. The MRI sequences of T1-weighted, and T2-weighted fast spin echo (FSE) were evaluated. The main goal in this paper was to find the range of repetition time (TR) and range of echo time (TE) which maximizes the contrast to noise ratio (CNR). An ultrasonic transducer operating at 2 MHz was used, which is navigated using a positioning device. With T1W FSE the range of TR under which CNR is maximized ranges from 400 to 900 ms. The maximum contrast measured is approximately 25. With T2W FSE the range of TE that establishes maximum contrast is between 40 ms and 80 ms, with CNR of approximately 14. T1W FSE is much better than T2W FSE in detecting thermal lesions in liver. Both T1W and T2 W FSE were proven successful to image thermal lesions created by HIFU in rabbit liver in vivo. ©2009 IEEE.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.subjectHIFUen_US
dc.subjectLiveren_US
dc.subjectMRIen_US
dc.subjectMRI guidanceen_US
dc.subjectThermal lesionsen_US
dc.subject| Tumorsen_US
dc.titleLiver ablation using a high intensity focused ultrasound system and MRI guidanceen_US
dc.typeConference Papersen_US
dc.collaborationFrederick Universityen_US
dc.collaborationMedsonic Ltden_US
dc.collaborationYgia Polyclinic Hospitalen_US
dc.collaborationCity University Londonen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceIEEE International Conference on Information Technology and Applications in Biomedicineen_US
dc.identifier.doi10.1109/ITAB.2009.5394418en_US
dc.identifier.scopus2-s2.0-77949577009en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77949577009en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
cut.common.academicyear2009-2010en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
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-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
CORE Recommender
Show simple item record

SCOPUSTM   
Citations 10

1
checked on Mar 14, 2024

Page view(s)

249
Last Week
2
Last month
9
checked on May 13, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.