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dc.contributor.authorButler, Maireaden
dc.contributor.authorPerperidis, Antoniosen
dc.contributor.authorZahra, Jean-Luc Matteoen
dc.contributor.authorSilva, Nadiaen
dc.contributor.authorAverkiou, Michalakisen
dc.contributor.authorDuncan, W. Colinen
dc.contributor.authorMcNeilly, Alanen
dc.contributor.authorSboros, Vassilisen
dc.creatorButler, Maireaden
dc.creatorPerperidis, Antoniosen
dc.creatorZahra, Jean-Luc Matteoen
dc.creatorSilva, Nadiaen
dc.creatorAverkiou, Michalakisen
dc.creatorDuncan, W. Colinen
dc.creatorMcNeilly, Alanen
dc.creatorSboros, Vassilisen
dc.description.abstractUltrasound contrast imaging has been used to assess tumour growth and regression by assessing the flow through the macro- and micro-vasculature. Our aim was to differentiate the blood kinetics of vessels such as veins, arteries and microvasculature within the limits of the spatial resolution of contrast-enhanced ultrasound imaging. The highly vascularised ovine ovary was used as a biological model. Perfusion of the ovary with SonoVue was recorded with a Philips iU22 scanner in contrast imaging mode. One ewe was treated with prostaglandin to induce vascular regression. Time-intensity curves (TIC) for different regions of interest were obtained, a lognormal model was fitted and flow parameters calculated. Parametric maps of the whole imaging plane were generated for 2 × 2 pixel regions of interest. Further analysis of TICs from selected locations helped specify parameters associated with differentiation into four categories of vessels (arteries, veins, medium-sized vessels and micro-vessels). Time-dependent parameters were associated with large veins, whereas intensity-dependent parameters were associated with large arteries. Further development may enable automation of the technique as an efficient way of monitoring vessel distributions in a clinical setting using currently available scanners.en
dc.sourceUltrasound in Medicine & Biologyen
dc.titleDifferentiation of Vascular Characteristics Using Contrast-Enhanced Ultrasound Imagingen
dc.description.endingpage2455Πολυτεχνική Σχολή / Faculty of EngineeringΤμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering
dc.source.abbreviationUltrasound in Medicine & Biologyen
dc.contributor.orcidAverkiou, Michalakis [0000-0002-2485-3433]
dc.contributor.orcidSboros, Vassilis [0000-0002-9133-7252]

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