dc.contributor.author | Butler, Mairead | en |
dc.contributor.author | Perperidis, Antonios | en |
dc.contributor.author | Zahra, Jean-Luc Matteo | en |
dc.contributor.author | Silva, Nadia | en |
dc.contributor.author | Averkiou, Michalakis | en |
dc.contributor.author | Duncan, W. Colin | en |
dc.contributor.author | McNeilly, Alan | en |
dc.contributor.author | Sboros, Vassilis | en |
dc.creator | Butler, Mairead | en |
dc.creator | Perperidis, Antonios | en |
dc.creator | Zahra, Jean-Luc Matteo | en |
dc.creator | Silva, Nadia | en |
dc.creator | Averkiou, Michalakis | en |
dc.creator | Duncan, W. Colin | en |
dc.creator | McNeilly, Alan | en |
dc.creator | Sboros, Vassilis | en |
dc.date.accessioned | 2021-01-27T10:17:40Z | |
dc.date.available | 2021-01-27T10:17:40Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 0301-5629 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/63755 | |
dc.description.abstract | Ultrasound 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.language.iso | en | en |
dc.source | Ultrasound in Medicine & Biology | en |
dc.source.uri | http://www.sciencedirect.com/science/article/pii/S0301562919302236 | |
dc.title | Differentiation of Vascular Characteristics Using Contrast-Enhanced Ultrasound Imaging | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.ultrasmedbio.2019.05.015 | |
dc.description.volume | 45 | |
dc.description.issue | 9 | |
dc.description.startingpage | 2444 | |
dc.description.endingpage | 2455 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Μηχανικών Μηχανολογίας και Κατασκευαστικής / Department of Mechanical and Manufacturing Engineering | |
dc.type.uhtype | Article | en |
dc.source.abbreviation | Ultrasound in Medicine & Biology | en |
dc.contributor.orcid | Averkiou, Michalakis [0000-0002-2485-3433] | |
dc.contributor.orcid | Sboros, Vassilis [0000-0002-9133-7252] | |
dc.gnosis.orcid | 0000-0002-2485-3433 | |
dc.gnosis.orcid | 0000-0002-9133-7252 | |