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Effect of the software binning and averaging data during microcomputed tomography image acquisition
This study describes the effect of the software binning and data averaging during micro CT volume acquisition, on the assessment of root resorption volumes. The mesial roots (n = 9), after orthodontic tooth movement during 14 days, were scanned, using a micro CT system (9 µm/pixel). All roots were r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646350/ https://www.ncbi.nlm.nih.gov/pubmed/31332205 http://dx.doi.org/10.1038/s41598-019-46530-z |
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author | Friedrichsdorf, Simone Peixe Arana-Chavez, Victor Elias Cattaneo, Paolo Maria Spin-Neto, Rubens Dominguez, Gladys Cristina |
author_facet | Friedrichsdorf, Simone Peixe Arana-Chavez, Victor Elias Cattaneo, Paolo Maria Spin-Neto, Rubens Dominguez, Gladys Cristina |
author_sort | Friedrichsdorf, Simone Peixe |
collection | PubMed |
description | This study describes the effect of the software binning and data averaging during micro CT volume acquisition, on the assessment of root resorption volumes. The mesial roots (n = 9), after orthodontic tooth movement during 14 days, were scanned, using a micro CT system (9 µm/pixel). All roots were reconstructed and the volumes of the resorption lacunae evaluated. The height and width of the pixels vary according to the parameters (A1, A2, A3, A4, A5, A6, A7, A8, A9) used during the scan. In the root #1 the mean volumes of resorption were similar in A4 and A7; in the root #2 there was no similarity in the mean volumes of resorption in any of the parameters; in root #3 only A4 presented mean volume different from zero (3.05 × 10°). In the root #5, the A1 and A7 presented similar mean volumes and in the A6 and A9 presented near mean volumes. In the root #9 the A1, A4, and A7 presented similar mean volumes and A6 and A9 also had similar mean volumes. Significant difference was detected in the volume of resorption among the roots #2, #5 and #9 (p = 0.04). When analyzing delicate structures such as the roots of rats’ molars, the variation of such parameters will significantly influence the results. |
format | Online Article Text |
id | pubmed-6646350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66463502019-07-29 Effect of the software binning and averaging data during microcomputed tomography image acquisition Friedrichsdorf, Simone Peixe Arana-Chavez, Victor Elias Cattaneo, Paolo Maria Spin-Neto, Rubens Dominguez, Gladys Cristina Sci Rep Article This study describes the effect of the software binning and data averaging during micro CT volume acquisition, on the assessment of root resorption volumes. The mesial roots (n = 9), after orthodontic tooth movement during 14 days, were scanned, using a micro CT system (9 µm/pixel). All roots were reconstructed and the volumes of the resorption lacunae evaluated. The height and width of the pixels vary according to the parameters (A1, A2, A3, A4, A5, A6, A7, A8, A9) used during the scan. In the root #1 the mean volumes of resorption were similar in A4 and A7; in the root #2 there was no similarity in the mean volumes of resorption in any of the parameters; in root #3 only A4 presented mean volume different from zero (3.05 × 10°). In the root #5, the A1 and A7 presented similar mean volumes and in the A6 and A9 presented near mean volumes. In the root #9 the A1, A4, and A7 presented similar mean volumes and A6 and A9 also had similar mean volumes. Significant difference was detected in the volume of resorption among the roots #2, #5 and #9 (p = 0.04). When analyzing delicate structures such as the roots of rats’ molars, the variation of such parameters will significantly influence the results. Nature Publishing Group UK 2019-07-22 /pmc/articles/PMC6646350/ /pubmed/31332205 http://dx.doi.org/10.1038/s41598-019-46530-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Friedrichsdorf, Simone Peixe Arana-Chavez, Victor Elias Cattaneo, Paolo Maria Spin-Neto, Rubens Dominguez, Gladys Cristina Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title | Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title_full | Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title_fullStr | Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title_full_unstemmed | Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title_short | Effect of the software binning and averaging data during microcomputed tomography image acquisition |
title_sort | effect of the software binning and averaging data during microcomputed tomography image acquisition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6646350/ https://www.ncbi.nlm.nih.gov/pubmed/31332205 http://dx.doi.org/10.1038/s41598-019-46530-z |
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