Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models

Detalhes bibliográficos
Autor(a) principal: Corazza, Paola Fernanda Leal
Data de Publicação: 2020
Outros Autores: Baeder, Fernando Martins, Silva, Daniel Furtado, Albuquerque, Ana Carolina Lyra de, Silva, Jorge Vicente Lopes, Junqueira, José Luiz Cintra, Panzarella, Francine Kühl
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/9842
Resumo: This study compared the acquisition protocols of the Conical Beam Computed Tomography (CBCT) system, to assess the influence on image accuracy by different voxel sizes and the presence of soft tissue. Tomographic acquisition was performed in a fresh (F) and dry (D) pork jaw with voxel sizes of 0.4, 0.3 and 0.25 mm. The gold standard was obtained by scanning dry jaws covered with barium sulfate with a voxel size of 0.25 mm. The images were treated in the MIMICS® program, and noise areas were removed manually, using a fixed threshold for the purpose of generating 3D printing windows. Each window was virtually overlaid with the gold standard using the MeshLab software, obtaining absolute error values ​​between the meshes, generating a map of discrepancies. Significant differences were found between windows D 0.30 vs. F 0.30, D 0.30 vs. F 0.25, D 0.30 vs. D 0.25, D 0.30 vs. F 0.40, F 0.30 vs. D 0.25, F 0.25 vs. D 0.25, F 0.25 vs. D 0.40, D 0.25 vs. F 0.40, D 0.25 vs. D 0.40 and F 0.40 vs. D 0.40, (p <0.05). It was observed that the dry jaw windows showed a lower mean and standard deviation when compared to the fresh jaw windows. The 0.25 mm voxel protocol showed the most accurate result and the presence of soft tissues influenced the accuracy of the image when some protocols were compared statistically.
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spelling Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping modelsEvaluación de la precisión de diferentes protocolos de adquisición CBCT utilizados en modelos de creación rápida de prototiposAvaliação da precisão de diferentes protocolos de aquisição de TCFC usados em modelos de prototipagem rápidaCreación rápida de prototiposTomógrafo computarizado de haz cónicoTamaño de voxelSimulación de tejidos blandos.Prototipagem rápidaTomógrafo computadorizado de feixe cônicoTamanho do voxelSimulação de tecido mole.Rapid prototypingCone beam computed tomographVoxel sizeSoft tissue simulation.This study compared the acquisition protocols of the Conical Beam Computed Tomography (CBCT) system, to assess the influence on image accuracy by different voxel sizes and the presence of soft tissue. Tomographic acquisition was performed in a fresh (F) and dry (D) pork jaw with voxel sizes of 0.4, 0.3 and 0.25 mm. The gold standard was obtained by scanning dry jaws covered with barium sulfate with a voxel size of 0.25 mm. The images were treated in the MIMICS® program, and noise areas were removed manually, using a fixed threshold for the purpose of generating 3D printing windows. Each window was virtually overlaid with the gold standard using the MeshLab software, obtaining absolute error values ​​between the meshes, generating a map of discrepancies. Significant differences were found between windows D 0.30 vs. F 0.30, D 0.30 vs. F 0.25, D 0.30 vs. D 0.25, D 0.30 vs. F 0.40, F 0.30 vs. D 0.25, F 0.25 vs. D 0.25, F 0.25 vs. D 0.40, D 0.25 vs. F 0.40, D 0.25 vs. D 0.40 and F 0.40 vs. D 0.40, (p <0.05). It was observed that the dry jaw windows showed a lower mean and standard deviation when compared to the fresh jaw windows. The 0.25 mm voxel protocol showed the most accurate result and the presence of soft tissues influenced the accuracy of the image when some protocols were compared statistically.Este estudio comparó los protocolos de adquisición del sistema de tomografía computarizada de haz cónico (TCHC), para evaluar la influencia en la precisión de la imagen por diferentes tamaños de voxel y la presencia de tejido blando. La adquisición tomográfica se realizó en mandíbula de cerdo fresca (F) y seca (D) con voxel de tamaños 0,4, 0,3 y 0,25 mm. El patrón oro se obtuvo escaneando mandíbulas secas cubiertas con sulfato de bario con tamaño de vóxel de 0,25 mm. Las imágenes se trataron en el programa MIMICS®, las áreas de ruido se eliminaron manualmente, utilizando un umbral fijo con el fin de generar ventanas de impresión 3D. Cada ventana se superpuso virtualmente con el estándar de oro utilizando software MeshLab, obteniendo valores absolutos de error entre las mallas, generando un mapa de discrepancias. Se encontraron diferencias significativas entre ventanas D 0,30 vs. F 0,30, D 0,30 vs. F 0,25, D 0,30 vs. D 0,25, D 0,30 vs. F 0,40, F 0,30 vs. D 0,25, F 0,25 vs. D 0,25, F 0,25 vs. D 0,40, D 0,25 vs. F 0,40, D 0,25 vs. D 0,40 y F 0,40 vs. D 0,40, (p <0,05). Se observó que las ventanas de mandíbula seca mostraron una desviación media y estándar más baja en comparación con ventanas de la mandíbula fresca. El protocolo de vóxel de 0,25 mm mostró el resultado más preciso y la presencia de tejidos blandos influyó en la precisión de la imagen cuando se compararon estadísticamente algunos protocolos.Este estudo comparou os protocolos de aquisição do sistema de Tomografia Computadorizada de Feixe Cônico (TCFC), para avaliar a influência na precisão da imagem por diferentes tamanhos de voxel e presença de tecido mole. A aquisição tomográfica foi realizada em mandíbula de porco nos estados fresco (F) e seco (D) com tamanhos de voxels de 0,4, 0,3 e 0,25 mm. O padrão ouro foi obtido pela varredura de mandíbula seca coberta com sulfato de bário com tamanho de voxel de 0,25 mm. As imagens foram tratadas no programa MIMICS®, e áreas de ruído foram removidas manualmente, utilizando limiar fixo para fins de geração de janelas de impressão 3D. Cada janela foi sobreposta virtualmente ao padrão ouro por meio do software MeshLab, obtendo-se valores de erros absolutos entre as malhas, gerando um mapa de discrepâncias. Foram encontradas diferenças significativas entre as janelas D 0,30 vs. F 0,30, D 0,30 vs. F 0,25, D 0,30 vs. D 0,25, D 0,30 vs. F 0,40, F 0,30 vs. D 0,25, F 0,25 vs. D 0,25, F 0,25 vs. D 0,40, D 0,25 vs. F 0,40, D 0,25 vs. D 0,40 e F 0,40 vs. D 0,40, (p <0,05). Observou-se que as janelas de mandíbula seca apresentaram menor média e desvio padrão dos quando comparadas às janelas de mandíbula frescas. O protocolo com voxel de 0,25 mm apresentou o resultado mais acurado e a presença de tecidos moles influenciou na acurácia da imagem quando alguns protocolos foram comparados estatisticamente.Research, Society and Development2020-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/984210.33448/rsd-v9i11.9842Research, Society and Development; Vol. 9 No. 11; e2649119842Research, Society and Development; Vol. 9 Núm. 11; e2649119842Research, Society and Development; v. 9 n. 11; e26491198422525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/9842/8763Copyright (c) 2020 Paola Fernanda Leal Corazza; Fernando Martins Baeder; Daniel Furtado Silva; Ana Carolina Lyra de Albuquerque; Jorge Vicente Lopes Silva; José Luiz Cintra Junqueira; Francine Kühl Panzarellahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCorazza, Paola Fernanda Leal Baeder, Fernando Martins Silva, Daniel FurtadoAlbuquerque, Ana Carolina Lyra deSilva, Jorge Vicente Lopes Junqueira, José Luiz CintraPanzarella, Francine Kühl2020-12-10T23:37:57Zoai:ojs.pkp.sfu.ca:article/9842Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:32:01.826342Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
Evaluación de la precisión de diferentes protocolos de adquisición CBCT utilizados en modelos de creación rápida de prototipos
Avaliação da precisão de diferentes protocolos de aquisição de TCFC usados em modelos de prototipagem rápida
title Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
spellingShingle Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
Corazza, Paola Fernanda Leal
Creación rápida de prototipos
Tomógrafo computarizado de haz cónico
Tamaño de voxel
Simulación de tejidos blandos.
Prototipagem rápida
Tomógrafo computadorizado de feixe cônico
Tamanho do voxel
Simulação de tecido mole.
Rapid prototyping
Cone beam computed tomograph
Voxel size
Soft tissue simulation.
title_short Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
title_full Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
title_fullStr Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
title_full_unstemmed Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
title_sort Accuracy assessment of different CBCT acquisition protocols used in rapid prototyping models
author Corazza, Paola Fernanda Leal
author_facet Corazza, Paola Fernanda Leal
Baeder, Fernando Martins
Silva, Daniel Furtado
Albuquerque, Ana Carolina Lyra de
Silva, Jorge Vicente Lopes
Junqueira, José Luiz Cintra
Panzarella, Francine Kühl
author_role author
author2 Baeder, Fernando Martins
Silva, Daniel Furtado
Albuquerque, Ana Carolina Lyra de
Silva, Jorge Vicente Lopes
Junqueira, José Luiz Cintra
Panzarella, Francine Kühl
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Corazza, Paola Fernanda Leal
Baeder, Fernando Martins
Silva, Daniel Furtado
Albuquerque, Ana Carolina Lyra de
Silva, Jorge Vicente Lopes
Junqueira, José Luiz Cintra
Panzarella, Francine Kühl
dc.subject.por.fl_str_mv Creación rápida de prototipos
Tomógrafo computarizado de haz cónico
Tamaño de voxel
Simulación de tejidos blandos.
Prototipagem rápida
Tomógrafo computadorizado de feixe cônico
Tamanho do voxel
Simulação de tecido mole.
Rapid prototyping
Cone beam computed tomograph
Voxel size
Soft tissue simulation.
topic Creación rápida de prototipos
Tomógrafo computarizado de haz cónico
Tamaño de voxel
Simulación de tejidos blandos.
Prototipagem rápida
Tomógrafo computadorizado de feixe cônico
Tamanho do voxel
Simulação de tecido mole.
Rapid prototyping
Cone beam computed tomograph
Voxel size
Soft tissue simulation.
description This study compared the acquisition protocols of the Conical Beam Computed Tomography (CBCT) system, to assess the influence on image accuracy by different voxel sizes and the presence of soft tissue. Tomographic acquisition was performed in a fresh (F) and dry (D) pork jaw with voxel sizes of 0.4, 0.3 and 0.25 mm. The gold standard was obtained by scanning dry jaws covered with barium sulfate with a voxel size of 0.25 mm. The images were treated in the MIMICS® program, and noise areas were removed manually, using a fixed threshold for the purpose of generating 3D printing windows. Each window was virtually overlaid with the gold standard using the MeshLab software, obtaining absolute error values ​​between the meshes, generating a map of discrepancies. Significant differences were found between windows D 0.30 vs. F 0.30, D 0.30 vs. F 0.25, D 0.30 vs. D 0.25, D 0.30 vs. F 0.40, F 0.30 vs. D 0.25, F 0.25 vs. D 0.25, F 0.25 vs. D 0.40, D 0.25 vs. F 0.40, D 0.25 vs. D 0.40 and F 0.40 vs. D 0.40, (p <0.05). It was observed that the dry jaw windows showed a lower mean and standard deviation when compared to the fresh jaw windows. The 0.25 mm voxel protocol showed the most accurate result and the presence of soft tissues influenced the accuracy of the image when some protocols were compared statistically.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-13
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/9842
10.33448/rsd-v9i11.9842
url https://rsdjournal.org/index.php/rsd/article/view/9842
identifier_str_mv 10.33448/rsd-v9i11.9842
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/9842/8763
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. 9 No. 11; e2649119842
Research, Society and Development; Vol. 9 Núm. 11; e2649119842
Research, Society and Development; v. 9 n. 11; e2649119842
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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