Root canal segmentation in cone-beam computed tomography

Aim: The purpose of this study was to compare root canal volumes (RCVs) obtained by means of cone beam computed tomography (CBCT) to those obtained by micro-computed tomography (micro-CT) after applying different segmentation algorithms. Methods: Eighteen extracted human teeth with sound root canal...

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Main Authors: Juliane Freitas Machado, Paula Maciel Pires, Thais Maria Pires dos Santos, Aline de Almeida Neves, Ricardo Tadeu Lopes, Maria Augusta Portella Guedes Visconti
Format: Article
Language:English
Published: Universidade Estadual de Campinas 2019-12-01
Series:Brazilian Journal of Oral Sciences
Subjects:
Online Access:https://periodicos.sbu.unicamp.br/ojs/index.php/bjos/article/view/8657328
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spelling doaj-de8afd50881f48778f161f51a396ad922021-07-15T13:58:41ZengUniversidade Estadual de CampinasBrazilian Journal of Oral Sciences1677-32252019-12-011810.20396/bjos.v18i0.8657328Root canal segmentation in cone-beam computed tomographyJuliane Freitas Machado0Paula Maciel Pires1Thais Maria Pires dos Santos2Aline de Almeida Neves3Ricardo Tadeu Lopes4Maria Augusta Portella Guedes Visconti5Federal University of Rio de Janeiro Federal University of Rio de Janeiro Federal University of Rio de Janeiro Federal University of Rio de Janeiro Federal University of Rio de Janeiro Federal University of Rio de Janeiro Aim: The purpose of this study was to compare root canal volumes (RCVs) obtained by means of cone beam computed tomography (CBCT) to those obtained by micro-computed tomography (micro-CT) after applying different segmentation algorithms. Methods: Eighteen extracted human teeth with sound root canals were individually scanned in CBCT and micro-CT using specific acquisition parameters. Two different images segmentation strategies were applied to both acquisition methods (a visual and an automatic threshold). From each segmented tooth, the root canal volume was obtained. A paired t-test was used to identify differences between mean values resulted from the experimental groups and the gold standard. In addition, Pearson correlation coefficients and the agreement among the experimental groups with the gold standard were also calculated. The significance level adopted was 5%. Results: No statistical differences between the segmentation methods (visual and automatic) were observed for micro-CT acquired images. However, significant differences for the two segmentation methods tested were seen when CBCT acquired images were compared with the micro-CT automatic segmentation methods used. In general, an overestimation of the values in the visual method were observed while an underestimation was observed with the automatic segmentation algorithm. Conclusion: Cone beam computed tomography images acquired with parameters used in the present study resulted in low agreement with root canal volumes obtained with a micro-CT tomography gold standard method of RCV calculation.   https://periodicos.sbu.unicamp.br/ojs/index.php/bjos/article/view/8657328Root canal therapyX-ray microtomographyCone-beam computed tomographyImaging, three-dimensional.
collection DOAJ
language English
format Article
sources DOAJ
author Juliane Freitas Machado
Paula Maciel Pires
Thais Maria Pires dos Santos
Aline de Almeida Neves
Ricardo Tadeu Lopes
Maria Augusta Portella Guedes Visconti
spellingShingle Juliane Freitas Machado
Paula Maciel Pires
Thais Maria Pires dos Santos
Aline de Almeida Neves
Ricardo Tadeu Lopes
Maria Augusta Portella Guedes Visconti
Root canal segmentation in cone-beam computed tomography
Brazilian Journal of Oral Sciences
Root canal therapy
X-ray microtomography
Cone-beam computed tomography
Imaging, three-dimensional.
author_facet Juliane Freitas Machado
Paula Maciel Pires
Thais Maria Pires dos Santos
Aline de Almeida Neves
Ricardo Tadeu Lopes
Maria Augusta Portella Guedes Visconti
author_sort Juliane Freitas Machado
title Root canal segmentation in cone-beam computed tomography
title_short Root canal segmentation in cone-beam computed tomography
title_full Root canal segmentation in cone-beam computed tomography
title_fullStr Root canal segmentation in cone-beam computed tomography
title_full_unstemmed Root canal segmentation in cone-beam computed tomography
title_sort root canal segmentation in cone-beam computed tomography
publisher Universidade Estadual de Campinas
series Brazilian Journal of Oral Sciences
issn 1677-3225
publishDate 2019-12-01
description Aim: The purpose of this study was to compare root canal volumes (RCVs) obtained by means of cone beam computed tomography (CBCT) to those obtained by micro-computed tomography (micro-CT) after applying different segmentation algorithms. Methods: Eighteen extracted human teeth with sound root canals were individually scanned in CBCT and micro-CT using specific acquisition parameters. Two different images segmentation strategies were applied to both acquisition methods (a visual and an automatic threshold). From each segmented tooth, the root canal volume was obtained. A paired t-test was used to identify differences between mean values resulted from the experimental groups and the gold standard. In addition, Pearson correlation coefficients and the agreement among the experimental groups with the gold standard were also calculated. The significance level adopted was 5%. Results: No statistical differences between the segmentation methods (visual and automatic) were observed for micro-CT acquired images. However, significant differences for the two segmentation methods tested were seen when CBCT acquired images were compared with the micro-CT automatic segmentation methods used. In general, an overestimation of the values in the visual method were observed while an underestimation was observed with the automatic segmentation algorithm. Conclusion: Cone beam computed tomography images acquired with parameters used in the present study resulted in low agreement with root canal volumes obtained with a micro-CT tomography gold standard method of RCV calculation.  
topic Root canal therapy
X-ray microtomography
Cone-beam computed tomography
Imaging, three-dimensional.
url https://periodicos.sbu.unicamp.br/ojs/index.php/bjos/article/view/8657328
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AT paulamacielpires rootcanalsegmentationinconebeamcomputedtomography
AT thaismariapiresdossantos rootcanalsegmentationinconebeamcomputedtomography
AT alinedealmeidaneves rootcanalsegmentationinconebeamcomputedtomography
AT ricardotadeulopes rootcanalsegmentationinconebeamcomputedtomography
AT mariaaugustaportellaguedesvisconti rootcanalsegmentationinconebeamcomputedtomography
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