Quality assessment of digital images produced using handheld X-ray equipment
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/28291 |
Resumo: | This study aimed at the assessment and monitoring of digital image quality parameters resulting from the use of portable X-ray equipment in clinical examinations. A multicentric study was conducted for quality assessment of images produced using the portable NOMAD® with the DIGORA® ™ Optime UV computed radiography (CR) system. The digital image quality was evaluated in terms of high- and low-contrast spatial resolution, contrast noise ratio (CNR), and signal-to-noise ratio (SNR). The samples comprised six biomaterials: zirconia (Zr), lyophilized bone (LB), photopolymerizable restorative resin (PRR), glass ionomer cement (GIC), GIC photopolymerizable (GICP), and double adhesive resin cement (DARC). The DICOM image (processed pixels) and raw data (without processing) were quantitatively analyzed. The qualitative visual analysis was performed in an adequately illuminated environment and then repeated in an environment equivalent to that of a clinical practice using conventional monitoring equipment. The relative biomaterial contrast was normalized by the high-contrast result of Zr. The Zr image demonstrated no noise because the standard deviation of the digital image biomaterial pixel mean was zero. In contrast, the relative SNR of the biomaterials was normalized by the DARC result. The relative CNR values according to different aluminum thicknesses were 0.11 for LB and 0.3–0.35 for PRR, GIC, and GICP. The spatial resolution was identical for both high-resolution and conventional monitors; however, for a 0.2-s clinical exposure, the resolution produced by the high-quality monitor increased. The quality control tests indicated the compatibility of the CR system-assisted portable X-ray equipment, verifying the status and image quality. |
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Quality assessment of digital images produced using handheld X-ray equipmentEvaluación de la calidad de las imágenes digitales producidas con equipos portátiles de rayos XAvaliação da qualidade de imagens digitais produzidas com equipamento de raios X portátilEnsinoRaios XControle de qualidadeMateriais biocompatíveisRadiografiaRelação sinal-ruído.TeachingX-ray imageQuality controlBiocompatible materialsRadiographySignal-to-noise ratio.EnseñanzaRayos-X portátilControl de calidadBiomaterialesRadiografíaRelación señal-ruido.This study aimed at the assessment and monitoring of digital image quality parameters resulting from the use of portable X-ray equipment in clinical examinations. A multicentric study was conducted for quality assessment of images produced using the portable NOMAD® with the DIGORA® ™ Optime UV computed radiography (CR) system. The digital image quality was evaluated in terms of high- and low-contrast spatial resolution, contrast noise ratio (CNR), and signal-to-noise ratio (SNR). The samples comprised six biomaterials: zirconia (Zr), lyophilized bone (LB), photopolymerizable restorative resin (PRR), glass ionomer cement (GIC), GIC photopolymerizable (GICP), and double adhesive resin cement (DARC). The DICOM image (processed pixels) and raw data (without processing) were quantitatively analyzed. The qualitative visual analysis was performed in an adequately illuminated environment and then repeated in an environment equivalent to that of a clinical practice using conventional monitoring equipment. The relative biomaterial contrast was normalized by the high-contrast result of Zr. The Zr image demonstrated no noise because the standard deviation of the digital image biomaterial pixel mean was zero. In contrast, the relative SNR of the biomaterials was normalized by the DARC result. The relative CNR values according to different aluminum thicknesses were 0.11 for LB and 0.3–0.35 for PRR, GIC, and GICP. The spatial resolution was identical for both high-resolution and conventional monitors; however, for a 0.2-s clinical exposure, the resolution produced by the high-quality monitor increased. The quality control tests indicated the compatibility of the CR system-assisted portable X-ray equipment, verifying the status and image quality.El objetivo fue evaluar los parámetros de calidad de la imagen digital cuando se utiliza un equipo de rayos X portátil. Se llevó a cabo un estudio para evaluar la calidad de las imágenes producidas con el sistema portátil de radiografía computarizada (RC) NOMAD® y DIGORA® Optime UV. La calidad de la imagen digital se evaluó en términos de resolución espacial de alto y bajo contraste, relación de ruido de contraste (CNR) y relación señal-ruido (SNR). Las muestras estaban compuestas por seis biomateriales: zirconio (Zr), hueso liofilizado (LB), resina restauradora fotopolimerizable (PRR), cemento de ionómero de vidrio (GIC), cemento de ionómero de vidrio fotopolimerizable (GICP) y cemento adhesivo de resina dual (DARC). La imagen DICOM (píxeles procesados) y los datos sin procesar (sin procesamiento) se analizaron cuantitativamente, así como el análisis visual cualitativo. El contraste relativo del biomaterial fue normalizado por el resultado de alto contraste de Zr. La imagen de Zr no presentó ruido debido a que su deviación estándar fue cero. Sin embargo, la SNR relativa de los biomateriales fue normalizada por el resultado DARC. Los valores relativos de CNR en relación con diferentes espesores de Al fueron 0,11 para LB y 0,3-0,35 para PRR, GIC y GICP. La resolución espacial fue idéntica para los monitores convencionales y de alta resolución; sin embargo, con una exposición de 0,2 s, la resolución del monitor de alta calidad aumentó. Las pruebas de control de calidad establecieron la compatibilidad de los equipos de rayos X portátiles asistidos por el sistema CR.Este estudo tem como objetivo avaliar e monitorar os parâmetros de qualidade da imagem digital quando o equipamento portátil de raios X é utilizado em exames clínicos. Foi realizado um estudo multicêntrico para avaliação da qualidade das imagens produzidas com o NOMAD® portátil e com o sistema de radiografia computadorizada (CR) DIGORA® Optime UV. A qualidade da imagem digital foi avaliada em termos de resolução espacial de alto e baixo contraste, razão de ruído de contraste (CNR) e relação sinal-ruído (SNR). As amostras foram compostas por seis biomateriais comumente utilizados: zircônia (Zr), osso liofilizado (LB), resina restauradora fotopolimerizável (PRR), cimento de ionômero de vidro (GIC), cimento de ionômero de vidro fotopolimerizável (GICP) e cimento resinoso adesivo dual (DARC). A imagem DICOM (pixels processados) e os dados brutos (sem processamento) foram analisados quantitativamente, assim como a análise visual qualitativa. O contraste relativo do biomaterial foi normalizado pelo resultado de alto contraste do Zr. A imagem Zr não apresentou ruído porque seu desvio padrão foi zero. No entanto, a SNR relativa dos biomateriais foi normalizada pelo resultado DARC. Os valores relativos de CNR em relação a diferentes espessuras de Al foram 0,11 para LB e 0,3–0,35 para PRR, GIC e GICP. A resolução espacial foi idêntica para monitores convencionais e de alta resolução; no entanto, com uma exposição clínica de 0,2 s, a resolução do monitor de alta qualidade aumentou. Os testes de controle de qualidade estabeleceram a compatibilidade dos equipamentos de raios X portáteis assistidos pelo sistema CR.Research, Society and Development2022-08-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2829110.33448/rsd-v11i10.28291Research, Society and Development; Vol. 11 No. 10; e564111028291Research, Society and Development; Vol. 11 Núm. 10; e564111028291Research, Society and Development; v. 11 n. 10; e5641110282912525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/28291/28083Copyright (c) 2022 Newton F. S. Nóbrega; Kellen A. C. Daros; Erica M. Policarpo; Camila H. Murata; Andrea Puchnick; Cláudio Costa; Sergio A. Ajzenhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNóbrega, Newton F. S. Daros, Kellen A. C. Policarpo, Erica M. Murata, Camila H. Puchnick, AndreaCosta, CláudioAjzen, Sergio A.2022-08-12T22:23:03Zoai:ojs.pkp.sfu.ca:article/28291Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:44.618987Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Quality assessment of digital images produced using handheld X-ray equipment Evaluación de la calidad de las imágenes digitales producidas con equipos portátiles de rayos X Avaliação da qualidade de imagens digitais produzidas com equipamento de raios X portátil |
title |
Quality assessment of digital images produced using handheld X-ray equipment |
spellingShingle |
Quality assessment of digital images produced using handheld X-ray equipment Nóbrega, Newton F. S. Ensino Raios X Controle de qualidade Materiais biocompatíveis Radiografia Relação sinal-ruído. Teaching X-ray image Quality control Biocompatible materials Radiography Signal-to-noise ratio. Enseñanza Rayos-X portátil Control de calidad Biomateriales Radiografía Relación señal-ruido. |
title_short |
Quality assessment of digital images produced using handheld X-ray equipment |
title_full |
Quality assessment of digital images produced using handheld X-ray equipment |
title_fullStr |
Quality assessment of digital images produced using handheld X-ray equipment |
title_full_unstemmed |
Quality assessment of digital images produced using handheld X-ray equipment |
title_sort |
Quality assessment of digital images produced using handheld X-ray equipment |
author |
Nóbrega, Newton F. S. |
author_facet |
Nóbrega, Newton F. S. Daros, Kellen A. C. Policarpo, Erica M. Murata, Camila H. Puchnick, Andrea Costa, Cláudio Ajzen, Sergio A. |
author_role |
author |
author2 |
Daros, Kellen A. C. Policarpo, Erica M. Murata, Camila H. Puchnick, Andrea Costa, Cláudio Ajzen, Sergio A. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Nóbrega, Newton F. S. Daros, Kellen A. C. Policarpo, Erica M. Murata, Camila H. Puchnick, Andrea Costa, Cláudio Ajzen, Sergio A. |
dc.subject.por.fl_str_mv |
Ensino Raios X Controle de qualidade Materiais biocompatíveis Radiografia Relação sinal-ruído. Teaching X-ray image Quality control Biocompatible materials Radiography Signal-to-noise ratio. Enseñanza Rayos-X portátil Control de calidad Biomateriales Radiografía Relación señal-ruido. |
topic |
Ensino Raios X Controle de qualidade Materiais biocompatíveis Radiografia Relação sinal-ruído. Teaching X-ray image Quality control Biocompatible materials Radiography Signal-to-noise ratio. Enseñanza Rayos-X portátil Control de calidad Biomateriales Radiografía Relación señal-ruido. |
description |
This study aimed at the assessment and monitoring of digital image quality parameters resulting from the use of portable X-ray equipment in clinical examinations. A multicentric study was conducted for quality assessment of images produced using the portable NOMAD® with the DIGORA® ™ Optime UV computed radiography (CR) system. The digital image quality was evaluated in terms of high- and low-contrast spatial resolution, contrast noise ratio (CNR), and signal-to-noise ratio (SNR). The samples comprised six biomaterials: zirconia (Zr), lyophilized bone (LB), photopolymerizable restorative resin (PRR), glass ionomer cement (GIC), GIC photopolymerizable (GICP), and double adhesive resin cement (DARC). The DICOM image (processed pixels) and raw data (without processing) were quantitatively analyzed. The qualitative visual analysis was performed in an adequately illuminated environment and then repeated in an environment equivalent to that of a clinical practice using conventional monitoring equipment. The relative biomaterial contrast was normalized by the high-contrast result of Zr. The Zr image demonstrated no noise because the standard deviation of the digital image biomaterial pixel mean was zero. In contrast, the relative SNR of the biomaterials was normalized by the DARC result. The relative CNR values according to different aluminum thicknesses were 0.11 for LB and 0.3–0.35 for PRR, GIC, and GICP. The spatial resolution was identical for both high-resolution and conventional monitors; however, for a 0.2-s clinical exposure, the resolution produced by the high-quality monitor increased. The quality control tests indicated the compatibility of the CR system-assisted portable X-ray equipment, verifying the status and image quality. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/28291 10.33448/rsd-v11i10.28291 |
url |
https://rsdjournal.org/index.php/rsd/article/view/28291 |
identifier_str_mv |
10.33448/rsd-v11i10.28291 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/28291/28083 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 10; e564111028291 Research, Society and Development; Vol. 11 Núm. 10; e564111028291 Research, Society and Development; v. 11 n. 10; e564111028291 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052764967141376 |