Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8151
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dc.contributor.authorNol, Jen
dc.contributor.authorIsouard, Godfreyen
dc.contributor.authorMirecki, Jen
dc.date.accessioned2011-07-25T13:59:00Z-
dc.date.issued2006-
dc.identifier.citationJournal of Digital Imaging, 19(2), p. 159-166en
dc.identifier.issn1618-727Xen
dc.identifier.issn0897-1889en
dc.identifier.urihttps://hdl.handle.net/1959.11/8151-
dc.description.abstractSince the emergence of digital imaging, there have been questions about the necessity of continuing reject analysis programs in imaging departments to evaluate performance and quality. As a marketing strategy, most suppliers of digital technology focus on the supremacy of the technology and its ability to reduce the number of repeats, resulting in less radiation doses given to patients and increased productivity in the department. On the other hand, quality assurance radiographers and radiologists believe that repeats are mainly related to positioning skills, and repeat analysis is the main tool to plan training needs to up-skill radiographers. A comparative study between conventional and digital imaging was undertaken to compare outcomes and evaluate the need for reject analysis. However, digital technology still being at its early development stages, setting a credible reject analysis program became the major task of the study. It took the department, with the help of the suppliers of the computed radiography reader and the picture archiving and communication system, over 2 years of software enhancement to build a reliable digital repeat analysis system. The results were supportive of both philosophies; the number of repeats as a result of exposure factors was reduced dramatically; however, the percentage of repeats as a result of positioning skills was slightly on the increase for the simple reason that some rejects in the conventional system qualifying for both exposure and positioning errors were classified as exposure error. The ability of digitally adjusting dark or light images reclassified some of those images as positioning errors.en
dc.languageenen
dc.publisherSpringer New York LLCen
dc.relation.ispartofJournal of Digital Imagingen
dc.titleDigital Repeat Analysis; Setup and Operationen
dc.typeJournal Articleen
dc.identifier.doi10.1007/s10278-005-8733-1en
dc.subject.keywordsPublic Health and Health Servicesen
dc.subject.keywordsHealth and Community Servicesen
dc.subject.keywordsHealth Care Administrationen
local.contributor.firstnameJen
local.contributor.firstnameGodfreyen
local.contributor.firstnameJen
local.subject.for2008111708 Health and Community Servicesen
local.subject.for2008111799 Public Health and Health Services not elsewhere classifieden
local.subject.for2008111709 Health Care Administrationen
local.subject.seo2008920499 Public Health (excl. Specific Population Health) not elsewhere classifieden
local.subject.seo2008920208 Health Policy Evaluationen
local.profile.schoolSchool of Healthen
local.profile.emailgisouard@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20110527-16295en
local.publisher.placeUnited States of Americaen
local.format.startpage159en
local.format.endpage166en
local.identifier.scopusid33748914094en
local.peerreviewedYesen
local.identifier.volume19en
local.identifier.issue2en
local.contributor.lastnameNolen
local.contributor.lastnameIsouarden
local.contributor.lastnameMireckien
dc.identifier.staffune-id:gisouarden
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:8326en
dc.identifier.academiclevelAcademicen
local.title.maintitleDigital Repeat Analysis; Setup and Operationen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorNol, Jen
local.search.authorIsouard, Godfreyen
local.search.authorMirecki, Jen
local.uneassociationUnknownen
local.year.published2006en
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