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dc.contributor.authorConstantinou, Christodoulos
dc.contributor.authorGrondoudis, Andreas
dc.contributor.authorChristoforou, Andreas
dc.contributor.authorLanitis, Andreas
dc.contributor.authorConstantinides, Christakis
dc.creatorConstantinou, Christodoulos
dc.date.accessioned2018-10-19T07:34:30Z
dc.date.available2018-10-19T07:34:30Z
dc.date.issued2014-01-01
dc.identifierSCOPUS_ID:84904307478
dc.identifier.issn17526418
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84904307478&origin=inward
dc.identifier.urihttps://repo.euc.ac.cy/handle/123456789/487
dc.description.abstractA prototype software system for supporting the process of data collection and management in Quality Assurance (QA) for diagnostic imaging is presented. The developed system comprises two main units: the Image Processing Unit (IPU) and the Data Management Unit (DMU). The IPU is implemented to analyse images from different diagnostic modalities to allow extraction of quantitative measurements for further processing or immediate storage. The IPU is dynamically linked to the DMU so that measurements are transferred directly to the DMU. This process allows the automated generation of quality assurance reports for all such modalities. Apart from its low cost, flexibility for expandability and portability, the developed system extensively and comprehensively tests diagnostic modalities for compliance with international guidelines and standards, offering a structured approach to a comprehensive QA methodology.
dc.relation.ispartofInternational Journal of Biomedical Engineering and Technology
dc.titleA semi-automated quality assurance toolbox for diagnostic imaging
elsevier.identifier.doi10.1504/IJBET.2014.059345
elsevier.identifier.eid2-s2.0-84904307478
elsevier.identifier.scopusidSCOPUS_ID:84904307478
elsevier.volume14
elsevier.issue.identifier2
elsevier.coverdate2014-01-01
elsevier.coverdisplaydate2014
elsevier.openaccess0
elsevier.openaccessflagfalse
elsevier.aggregationtypeJournal


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