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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampBrasil, Danieli Moura-
dc.contributor.authorunicampHaiter Neto, Francisco-
dc.typeArtigopt_BR
dc.titleImage quality optimization using a narrow vertical detector dental cone-beam CTpt_BR
dc.contributor.authorBrasil, Danieli Moura-
dc.contributor.authorPauwels, Ruben-
dc.contributor.authorCoucke, Wim-
dc.contributor.authorHaiter-Neto, Francisco-
dc.contributor.authorJacobs, Reinhilde-
dc.subjectOtimizaçãopt_BR
dc.subjectTomografia computadorizada de feixe cônicopt_BR
dc.subject.otherlanguageOptimizationpt_BR
dc.subject.otherlanguageCone-beam computed tomographypt_BR
dc.description.abstractTo determine the optimized kV setting for a narrow detector cone-beam CT (CBCT) unit. Methods: Clinical (CL) and quantitative (QUANT) evaluations of image quality were performed using an anthropomorphic phantom. Technical (TECH) evaluation was performed with a polymethyl methacrylate phantom. Images were obtained using a PaX-i3D Green CBCT (Vatech, Hwaseong, Korea) device, with a large 21 x 19 and a medium 12 x 9cm field of view (FOY), and high-dose (HD-ranging from 85 to 110 kV) and low-dose (LD-ranging from 75 to 95 kV) protocols, totaling four groups (21 x 19cm HD, 21 x 19cm LD, 12 x 9cm HD, 12 x 9cm LD). The radiation dose within each group was fixed by adapting the mA according to a predetermined dose-area product. For CL evaluation, three observers assessed images based on overall quality, sharpness, contrast, artefacts, and noise. For QUANT evaluation, mean gray value shift, % increase of standard deviation (SD), % of beam hardening and contrast-to-noise ratio (CNR) were calculated. For TECH evaluation, segmentation accuracy, CNR, metal artefact SD, metal object area, and sharpness were measured. Representative parameters were chosen for CL, QUANT, and TECH evaluations to determine the optimal kV based on biplot graphs. kV values of the same protocol were compared by the bootstrapping approach. The ones that had statistical differences with the best kV were considered as worse quality. Results: Overall, kV values within the same group showed similar quality (p > 0.05), except for 110 kV in 21 x 19cm HD and 85 kV in 12 x 9cm HD of CL score; also 85, 90 kV in 21 x 19cm HD and 75, 80 kV in 21 x 19cm LD of QUANT score which were worse (p < 0.05). Conclusion: At a constant dose, low and high kV protocols yield acceptable image quality for a narrow-detector CBCT unitpt_BR
dc.relation.ispartofDentomaxillofacial radiologypt_BR
dc.relation.ispartofabbreviationDentomaxillofac radiolpt_BR
dc.publisher.cityLondonpt_BR
dc.publisher.countryReino Unidopt_BR
dc.publisherBritish Institute of Radiologypt_BR
dc.date.issued2019-
dc.date.monthofcirculationJan.pt_BR
dc.language.isoengpt_BR
dc.description.volume48pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0250-832Xpt_BR
dc.identifier.eissn1476-542Xpt_BR
dc.identifier.doi10.1259/dmfr.20180357pt_BR
dc.identifier.urlhttps://www.birpublications.org/doi/full/10.1259/dmfr.20180357pt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsordocumentnumberSem informaçãopt_BR
dc.date.available2020-05-07T18:53:35Z-
dc.date.accessioned2020-05-07T18:53:35Z-
dc.description.provenanceSubmitted by Thais de Brito Barroso (tbrito@unicamp.br) on 2020-05-07T18:53:34Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:17:47Z : No. of bitstreams: 1 000459541200015.pdf: 3018777 bytes, checksum: dd8081f5e1b228aee5d22ed4ff3a7f96 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-05-07T18:53:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/340365-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Diagnóstico Oralpt_BR
dc.contributor.unidadeFaculdade de Odontologia de Piracicabapt_BR
dc.contributor.unidadeFaculdade de Odontologia de Piracicabapt_BR
dc.subject.keywordImage qualitypt_BR
dc.subject.keywordPhantomspt_BR
dc.subject.keywordImagingpt_BR
dc.subject.keywordComputed-assisted image analysispt_BR
dc.identifier.source000459541200015pt_BR
dc.creator.orcid0000-0002-9519-4578pt_BR
dc.creator.orcid0000-0002-5610-8307pt_BR
dc.type.formArtigo de pesquisapt_BR
dc.identifier.articleid20180357pt_BR
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