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dc.contributor.authorChristofides, Damianosen
dc.contributor.authorLeen, Edwarden
dc.contributor.authorAverkiou, Michalakis A.en
dc.creatorChristofides, Damianosen
dc.creatorLeen, Edwarden
dc.creatorAverkiou, Michalakis A.en
dc.date.accessioned2019-05-06T12:23:29Z
dc.date.available2019-05-06T12:23:29Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/48295
dc.description.abstractDynamic contrast-enhanced ultrasound (DCEUS) has been used in radiology for many years for lesion detection and characterization. In recent years, more emphasis has been placed on tumor perfusion quantification with DCEUS. To ensure accuracy in both quantitative and qualitative evaluation of liver tumors with DCEUS, sources of noise in clinical data must be identified and, if possible, removed. One of the major sources of such noise is respiratory motion. A new automatic respiratory gating (ARG) algorithm is presented and evaluated with clinical data. The results of the evaluation demonstrate the potential of the ARG algorithm for clinical use as a fast and easy-to-implement method for removing respiratory motion from DCEUS loops. ABSTRACT FROM AUTHOR]en
dc.description.abstractCopyright of IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)en
dc.sourceIEEE Transactions on Ultrasonics Ferroelectrics & Frequency Controlen
dc.subjectDATA analysisen
dc.subjectIEEE Standards Boarden
dc.subjectLIVER – Anatomyen
dc.subjectLIVER tumorsen
dc.subjectTISSUES – Wounds & injuriesen
dc.subjectULTRASONICSen
dc.titleAutomatic respiratory gating for contrast ultrasound evaluation of liver lesionsen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume61
dc.description.startingpage25
dc.description.endingpage32
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.type.uhtypeArticleen
dc.contributor.orcidAverkiou, Michalakis A. [0000-0002-2485-3433]
dc.description.totalnumpages25-32


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