Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials

Abstract: Cone beam computed tomography (CBCT) is an imaging exam used increasingly in various fields of dentistry, and a greater number of endodontists are progressively gaining access to this technology. This study focused on applying an artifact suppression algorithm featured in CBCT software, an...

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Main Authors: Carlos ESTRELA, Mônica Misaé Endo, Mike Reis Bueno, Bruno Correa Azevedo, Daniel Almeida Decurcio, Lucas Rodrigues Araujo Estrela
Format: Article
Language:English
Published: Sociedade Brasileira de Pesquisa Odontológica 2025-02-01
Series:Brazilian Oral Research
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242025000100550&lng=en&tlng=en
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author Carlos ESTRELA
Mônica Misaé Endo
Mike Reis Bueno
Bruno Correa Azevedo
Daniel Almeida Decurcio
Lucas Rodrigues Araujo Estrela
author_facet Carlos ESTRELA
Mônica Misaé Endo
Mike Reis Bueno
Bruno Correa Azevedo
Daniel Almeida Decurcio
Lucas Rodrigues Araujo Estrela
author_sort Carlos ESTRELA
collection DOAJ
description Abstract: Cone beam computed tomography (CBCT) is an imaging exam used increasingly in various fields of dentistry, and a greater number of endodontists are progressively gaining access to this technology. This study focused on applying an artifact suppression algorithm featured in CBCT software, and designed specifically to address artifacts related to root canal filling materials. Method The sample consisted of eighty-four mandibular molars, with mesial root canals endodontically treated by using the lateral condensation technique. Four root canal sealers were applied: G1 – Sealapex®, G2 – AH Plus®, G3 – Endofill®, and G4 – Bio-C Sealer. CBCT scans were taken using PreXion 3D Elite®. Initially, the diameter of the root canal filling (in the mesiodistal and buccolingual directions) was measured using a digital micrometer (control). Next, these diameters were reevaluated in the CBCT images using the blooming artifact reduction (BAR) tool of the e-Vol DX software. The Van der Waerden nonparametric analysis of variance was performed, followed by applying the Tukey test to the normalized data. The significance level was set at α = 5%. Results There were no statistically significant differences (p>0.05) in the measurement of original root canal filling materials obtained by the micrometer versus the e-Vol DX software in the mesiodistal and buccolingual directions. Conclusions The tested software algorithm effectively suppressed artifacts resulting from obturation materials.
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spelling doaj-art-64324f7f8d9f40a4aea2097da3511b632025-02-04T07:40:58ZengSociedade Brasileira de Pesquisa OdontológicaBrazilian Oral Research1807-31072025-02-013910.1590/1807-3107bor-2025.vol39.011Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materialsCarlos ESTRELAhttps://orcid.org/0000-0002-1488-0366Mônica Misaé Endohttps://orcid.org/0000-0002-1769-8295Mike Reis Buenohttps://orcid.org/0000-0003-2632-2094Bruno Correa Azevedohttps://orcid.org/0000-0002-4514-8768Daniel Almeida Decurciohttps://orcid.org/0000-0002-1219-8427Lucas Rodrigues Araujo Estrelahttps://orcid.org/0000-0003-1244-4015Abstract: Cone beam computed tomography (CBCT) is an imaging exam used increasingly in various fields of dentistry, and a greater number of endodontists are progressively gaining access to this technology. This study focused on applying an artifact suppression algorithm featured in CBCT software, and designed specifically to address artifacts related to root canal filling materials. Method The sample consisted of eighty-four mandibular molars, with mesial root canals endodontically treated by using the lateral condensation technique. Four root canal sealers were applied: G1 – Sealapex®, G2 – AH Plus®, G3 – Endofill®, and G4 – Bio-C Sealer. CBCT scans were taken using PreXion 3D Elite®. Initially, the diameter of the root canal filling (in the mesiodistal and buccolingual directions) was measured using a digital micrometer (control). Next, these diameters were reevaluated in the CBCT images using the blooming artifact reduction (BAR) tool of the e-Vol DX software. The Van der Waerden nonparametric analysis of variance was performed, followed by applying the Tukey test to the normalized data. The significance level was set at α = 5%. Results There were no statistically significant differences (p>0.05) in the measurement of original root canal filling materials obtained by the micrometer versus the e-Vol DX software in the mesiodistal and buccolingual directions. Conclusions The tested software algorithm effectively suppressed artifacts resulting from obturation materials.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242025000100550&lng=en&tlng=enCone-Beam Computed TomographyEndodonticsDiagnosis
spellingShingle Carlos ESTRELA
Mônica Misaé Endo
Mike Reis Bueno
Bruno Correa Azevedo
Daniel Almeida Decurcio
Lucas Rodrigues Araujo Estrela
Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
Brazilian Oral Research
Cone-Beam Computed Tomography
Endodontics
Diagnosis
title Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
title_full Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
title_fullStr Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
title_full_unstemmed Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
title_short Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials
title_sort application of artifact suppression algorithm of post processing cbct software in root canal filling materials
topic Cone-Beam Computed Tomography
Endodontics
Diagnosis
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242025000100550&lng=en&tlng=en
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