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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorTyllis, Theodosis K.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.creatorLoizou, Christos P.en
dc.creatorPattichis, Constantinos S.en
dc.creatorPantzaris, Marios C.en
dc.creatorTyllis, Theodosis K.en
dc.creatorNicolaïdes, Andrew N.en
dc.date.accessioned2019-11-13T10:41:06Z
dc.date.available2019-11-13T10:41:06Z
dc.date.issued2006
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54448
dc.description.abstractImage quality is important when evaluating ultrasound images of the carotid for the assessment of the degree of atherosclerotic disease, or when transferring images through a telemedicine channel, and/or in other image processing tasks. The objective of this study was to investigate the usefulness of image quality evaluation based on image quality metrics and visual perception, in ultrasound imaging of the carotid artery after normalization and speckle reduction filtering. Image quality was evaluated based on statistical and texture features, image quality evaluation metrics, and visual perception evaluation made by two experts. These were computed on 80 longitudinal ultrasound images of the carotid bifurcation recorded from two different ultrasound scanners, the HDI ATL-3000 and the HDI ATL-5000 scanner, before (NF) and after (DS) speckle reduction filtering, after normalization (N), and after normalization and speckle reduction filtering (NDS). The results of this study showed that: (1) the normalized speckle reduction, NDS, images were rated visually better on both scannersen
dc.description.abstract(2) the NDS images showed better statistical and texture analysis results on both scannersen
dc.description.abstract(3) better image quality evaluation results were obtained between the original (NF) and normalized (N) images, i.e. NF-N, for both scanners, followed by the NF-DS images for the ATL HDI-5000 scanner and the NF-DS on the HDI ATL-3000 scanneren
dc.description.abstract(4) the ATL HDI-5000 scanner images have considerable higher entropy than the ATL HDI-3000 scanner and thus more information content. However, based on the visual evaluation by the two experts, both scanners were rated similarly. The above findings are also in agreement with the visual perception evaluation, carried out by the two vascular experts. The results of this study showed that ultrasound image normalization and speckle reduction filtering are important preprocessing steps favoring image quality, and should be further investigated. © International Federation for Medical and Biological Engineering 2006.en
dc.sourceMedical and Biological Engineering and Computingen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33745456397&doi=10.1007%2fs11517-006-0045-1&partnerID=40&md5=becb45209aeb23ce7a9fe4d940ac04ed
dc.subjectqualitative analysisen
dc.subjectarticleen
dc.subjectStatistical methodsen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectadulten
dc.subjectageden
dc.subjectcontrolled studyen
dc.subjectfemaleen
dc.subjectclinical articleen
dc.subjectmaleen
dc.subjectstatistical analysisen
dc.subjectintermethod comparisonen
dc.subjectimage analysisen
dc.subjectechographyen
dc.subjectimage processingen
dc.subjectSensitivity and Specificityen
dc.subjectentropyen
dc.subjectUltrasonicsen
dc.subjectUltrasound imagingen
dc.subjectMedical imagingen
dc.subjectCarotid Arteriesen
dc.subjectatherosclerosisen
dc.subjectTexturesen
dc.subjectcarotid artery bifurcationen
dc.subjectCarotid Artery Diseasesen
dc.subjectCarotid arteryen
dc.subjectImage Processing, Computer-Assisteden
dc.subjectvisionen
dc.subjectTexture analysisen
dc.subjectCardiovascular systemen
dc.subjectImage qualityen
dc.subjectultrasound scanneren
dc.subjectartifact reductionen
dc.subjectSpeckle reduction filteringen
dc.subjectdigital filteringen
dc.subjectsignal detectionen
dc.titleQuality evaluation of ultrasound imaging in the carotid artery based on normalization and speckle reduction filteringen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/s11517-006-0045-1
dc.description.volume44
dc.description.issue5
dc.description.startingpage414
dc.description.endingpage426
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Tradenames: ATL HDI-3000, Advanced Technology, United Statesen
dc.description.notesATL HDI-5000, Advanced Technology, United Statesen
dc.description.notesManufacturers: Advanced Technology, United Statesen
dc.description.notesCited By :68</p>en
dc.source.abbreviationMed.Biol.Eng.Comput.en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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