Smartphone Photogrammetric Assessment for Head Measurements
The assessment of cranial deformation is relevant in the field of medicine dealing with infants, especially in paediatric neurosurgery and paediatrics. To address this demand, the smartphone-based solution PhotoMeDAS has been developed, harnessing mobile devices to create three-dimensional (3D) mode...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648760/ https://www.ncbi.nlm.nih.gov/pubmed/37960704 http://dx.doi.org/10.3390/s23219008 |
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author | Quispe-Enriquez, Omar C. Valero-Lanzuela, Juan José Lerma, José Luis |
author_facet | Quispe-Enriquez, Omar C. Valero-Lanzuela, Juan José Lerma, José Luis |
author_sort | Quispe-Enriquez, Omar C. |
collection | PubMed |
description | The assessment of cranial deformation is relevant in the field of medicine dealing with infants, especially in paediatric neurosurgery and paediatrics. To address this demand, the smartphone-based solution PhotoMeDAS has been developed, harnessing mobile devices to create three-dimensional (3D) models of infants’ heads and, from them, automatic cranial deformation reports. Therefore, it is crucial to examine the accuracy achievable with different mobile devices under similar conditions so prospective users can consider this aspect when using the smartphone-based solution. This study compares the linear accuracy obtained from three smartphone models (Samsung Galaxy S22 Ultra, S22, and S22+). Twelve measurements are taken with each mobile device using a coded cap on a head mannequin. For processing, three different bundle adjustment implementations are tested with and without self-calibration. After photogrammetric processing, the 3D coordinates are obtained. A comparison is made among spatially distributed distances across the head with PhotoMeDAS vs. ground truth established with a Creaform ACADEMIA 50 while-light 3D scanner. With a homogeneous scale factor for all the smartphones, the results showed that the average accuracy for the S22 smartphone is −1.15 ± 0.53 mm, for the S22+, 0.95 ± 0.40 mm, and for the S22 Ultra, −1.8 ± 0.45 mm. Worth noticing is that a substantial improvement is achieved regardless of whether the scale factor is introduced per device. |
format | Online Article Text |
id | pubmed-10648760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106487602023-11-06 Smartphone Photogrammetric Assessment for Head Measurements Quispe-Enriquez, Omar C. Valero-Lanzuela, Juan José Lerma, José Luis Sensors (Basel) Article The assessment of cranial deformation is relevant in the field of medicine dealing with infants, especially in paediatric neurosurgery and paediatrics. To address this demand, the smartphone-based solution PhotoMeDAS has been developed, harnessing mobile devices to create three-dimensional (3D) models of infants’ heads and, from them, automatic cranial deformation reports. Therefore, it is crucial to examine the accuracy achievable with different mobile devices under similar conditions so prospective users can consider this aspect when using the smartphone-based solution. This study compares the linear accuracy obtained from three smartphone models (Samsung Galaxy S22 Ultra, S22, and S22+). Twelve measurements are taken with each mobile device using a coded cap on a head mannequin. For processing, three different bundle adjustment implementations are tested with and without self-calibration. After photogrammetric processing, the 3D coordinates are obtained. A comparison is made among spatially distributed distances across the head with PhotoMeDAS vs. ground truth established with a Creaform ACADEMIA 50 while-light 3D scanner. With a homogeneous scale factor for all the smartphones, the results showed that the average accuracy for the S22 smartphone is −1.15 ± 0.53 mm, for the S22+, 0.95 ± 0.40 mm, and for the S22 Ultra, −1.8 ± 0.45 mm. Worth noticing is that a substantial improvement is achieved regardless of whether the scale factor is introduced per device. MDPI 2023-11-06 /pmc/articles/PMC10648760/ /pubmed/37960704 http://dx.doi.org/10.3390/s23219008 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 | Article Quispe-Enriquez, Omar C. Valero-Lanzuela, Juan José Lerma, José Luis Smartphone Photogrammetric Assessment for Head Measurements |
title | Smartphone Photogrammetric Assessment for Head Measurements |
title_full | Smartphone Photogrammetric Assessment for Head Measurements |
title_fullStr | Smartphone Photogrammetric Assessment for Head Measurements |
title_full_unstemmed | Smartphone Photogrammetric Assessment for Head Measurements |
title_short | Smartphone Photogrammetric Assessment for Head Measurements |
title_sort | smartphone photogrammetric assessment for head measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648760/ https://www.ncbi.nlm.nih.gov/pubmed/37960704 http://dx.doi.org/10.3390/s23219008 |
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