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Assessment of Cranial Deformation Indices by Automatic Smartphone-Based Photogrammetric Modelling

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Assessment of Cranial Deformation Indices by Automatic Smartphone-Based Photogrammetric Modelling

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dc.contributor.author Baselga Moreno, Sergio es_ES
dc.contributor.author Mora Navarro, Joaquin Gaspar es_ES
dc.contributor.author Lerma, José Luis es_ES
dc.date.accessioned 2023-05-22T18:02:02Z
dc.date.available 2023-05-22T18:02:02Z
dc.date.issued 2022-11 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193498
dc.description.abstract [EN] This paper presents research carried out to assess the accuracy of a fully automatic smartphone-based photogrammetric solution (PhotoMeDAS) to obtain a cranial diagnostic based on the 3D head model. The rigorous propagation of the coordinate measurement uncertainty to the infant's derived cranial deformation indices is demonstrated. The cranial anthropometric parameters and cranial deformation indices that PhotoMeDAS calculates automatically were analysed based on the estimated accuracy and uncertainty. To obtain both accuracy and uncertainty, a dummy head was measured 54 times under different conditions. The same head was measured with a top-of-the-line coordinate-measuring machine (CMM), and the results were used as ground-truth data. It is demonstrated that the PhotoMeDAS 3D models are an average of 1.01 times bigger than the corresponding ground truth, and the uncertainties are around 1 mm. Even assuming uncertainties in the coordinates of up to 1.5 mm, the error in the derived deformation index uncertainties is around 1%. In conclusion, the PhotoMeDAS solution improves the uncertainty obtained in an ordinary paediatric consultation and can be recommended as a tool for doctors to establish an adequate medical diagnosis based on comprehensive cranial deformation indices, which is much more precise and complete than the information obtained by existing analogue devices (measuring tapes and callipers) and easier to use and less expensive than radiological imaging (CT and MRI). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject 3D data digitisation es_ES
dc.subject Medicine es_ES
dc.subject Plagiocephaly es_ES
dc.subject 3D imaging es_ES
dc.subject Photogrammetry es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.title Assessment of Cranial Deformation Indices by Automatic Smartphone-Based Photogrammetric Modelling es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app122211499 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Geodésica, Cartográfica y Topográfica - Escola Tècnica Superior d'Enginyeria Geodèsica, Cartogràfica i Topogràfica es_ES
dc.description.bibliographicCitation Baselga Moreno, S.; Mora Navarro, JG.; Lerma, JL. (2022). Assessment of Cranial Deformation Indices by Automatic Smartphone-Based Photogrammetric Modelling. Applied Sciences. 12(22):1-15. https://doi.org/10.3390/app122211499 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app122211499 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 22 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\486761 es_ES


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