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Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects

Changes in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered ove...

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Detalles Bibliográficos
Autores principales: Benfield, Kate J., Burruel, Dylan E., Lujan, Trevor J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966291/
https://www.ncbi.nlm.nih.gov/pubmed/36826962
http://dx.doi.org/10.3390/jimaging9020043
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author Benfield, Kate J.
Burruel, Dylan E.
Lujan, Trevor J.
author_facet Benfield, Kate J.
Burruel, Dylan E.
Lujan, Trevor J.
author_sort Benfield, Kate J.
collection PubMed
description Changes in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered over time. The goal of this study was to determine guidelines when selecting these localized features to ensure robust and accurate 3D model registration. For this study, an object of interest (tibia bone replica) was 3D scanned at multiple time points, and the acquired 3D models were aligned using a simple cubic registration block attached to the object. The size of the registration block and the number of planar block surfaces selected to calculate the mapping functions used for 3D model registration were varied. Registration error was then calculated as the average linear surface variation between the target and reference tibial plateau surfaces. We obtained very low target registration errors when selecting block features with an area equivalent to at least 4% of the scanning field of view. Additionally, we found that at least two orthogonal surfaces should be selected to minimize registration error. Therefore, when registering 3D models to measure multi-temporal morphological change (e.g., mechanical wear), we recommend selecting multiplanar features that account for at least 4% of the scanning field of view. For the first time, this study has provided guidelines for selecting localized object features that can provide accurate 3D model registration for 3D scanned objects.
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spelling pubmed-99662912023-02-26 Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects Benfield, Kate J. Burruel, Dylan E. Lujan, Trevor J. J Imaging Technical Note Changes in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered over time. The goal of this study was to determine guidelines when selecting these localized features to ensure robust and accurate 3D model registration. For this study, an object of interest (tibia bone replica) was 3D scanned at multiple time points, and the acquired 3D models were aligned using a simple cubic registration block attached to the object. The size of the registration block and the number of planar block surfaces selected to calculate the mapping functions used for 3D model registration were varied. Registration error was then calculated as the average linear surface variation between the target and reference tibial plateau surfaces. We obtained very low target registration errors when selecting block features with an area equivalent to at least 4% of the scanning field of view. Additionally, we found that at least two orthogonal surfaces should be selected to minimize registration error. Therefore, when registering 3D models to measure multi-temporal morphological change (e.g., mechanical wear), we recommend selecting multiplanar features that account for at least 4% of the scanning field of view. For the first time, this study has provided guidelines for selecting localized object features that can provide accurate 3D model registration for 3D scanned objects. MDPI 2023-02-14 /pmc/articles/PMC9966291/ /pubmed/36826962 http://dx.doi.org/10.3390/jimaging9020043 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Technical Note
Benfield, Kate J.
Burruel, Dylan E.
Lujan, Trevor J.
Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title_full Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title_fullStr Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title_full_unstemmed Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title_short Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
title_sort guidelines for accurate multi-temporal model registration of 3d scanned objects
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966291/
https://www.ncbi.nlm.nih.gov/pubmed/36826962
http://dx.doi.org/10.3390/jimaging9020043
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