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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.issued2016
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/48294
dc.description.abstractConfidence in the accuracy of dynamic contrast enhanced ultrasound (DCEUS) quantification parameters is imperative for the correct diagnosis of liver lesion perfusion characteristics. An important source of uncertainty in liver DCEUS acquisitions is artifacts introduced by respiratory motion. The objective of this study is to construct a respiratory motion simulation model (RMSM) of dual contrast imaging mode acquisitions of liver lesions in order to evaluate an algorithm for automatic respiratory gating (ARG). The respiratory kinetics as well as the perfusion models of the liver lesion and parenchyma used by the RMSM were solely derived from clinical data. The quality of fit (of the DCEUS data onto the bolus kinetics model) depends on the respiration amplitude. Similar trends in terms of quality of fit as a function of respiration amplitude were observed from RMSM and clinical data. The errors introduced on the DCEUS quantification under the influence of respiration were evaluated. The RMSM revealed that the error in the liver lesion DCEUS quantification parameters significantly decreased(p< 0.001) from a maximum of 32.3% to 6.2% when ARG was used. The use of RMSM clearly demonstrates the capability of the ARG algorithm in significantly reducing errors introduced from both in-plane and out-of-plane respiratory motion. ABSTRACT FROM AUTHOR]en
dc.description.abstractCopyright of IEEE Transactions on Medical Imaging 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 Medical Imagingen
dc.subjectMathematical modelen
dc.subjectImagingen
dc.subjectKinetic theoryen
dc.subjectLesionsen
dc.subjectLiveren
dc.subjectNoiseen
dc.subjectrespiratory gatingen
dc.subjectACCURACY of informationen
dc.subjectContrast agentsen
dc.subjectLIVER – Wounds & injuries – Diagnosisen
dc.subjectliver metastasesen
dc.subjectmedical simulationen
dc.subjectPERFUSION (Physiology)en
dc.subjectPREDICATE calculusen
dc.subjectSIMULATION methods & modelsen
dc.subjectULTRASONIC imagingen
dc.titleEvaluation of the Accuracy of Liver Lesion DCEUS Quantification With Respiratory Gatingen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume35
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.totalnumpages622


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