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dc.contributor.author Alomar Adrover, Antònia
dc.contributor.author Morales, Araceli
dc.contributor.author Vellvé, Kilian
dc.contributor.author Porras Pérez, Antonio Reyes
dc.contributor.author Crispi Brillas, Fàtima
dc.contributor.author Linguraru, Marius
dc.contributor.author Piella Fenoy, Gemma
dc.contributor.author Sukno, Federico Mateo
dc.date.accessioned 2021-05-20T08:35:48Z
dc.date.available 2021-05-20T08:35:48Z
dc.date.issued 2021
dc.identifier.citation Alomar A, Morales A, Vellvé K, Porras A, Crispi F, Linguraru M, Piella G, Sukno F. 3D fetal face reconstruction from ultrasound imaging. In: Farinella GM, Radeva P, Braz J, Bouatouch K, editors. VISIGRAPP 2021: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 2021 Feb 8-10; Setúbal, Portugal. Setúbal: Scitepress; 2021. p. 615-24. DOI: 10.5220/0010340306150624
dc.identifier.issn 2184-4321
dc.identifier.uri http://hdl.handle.net/10230/47625
dc.description Comunicació presentada al VISIGRAPP 2021: The 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, celebrat del 8 al 10 de febrer de 2021 de manera virtual.
dc.description.abstract The fetal face contains essential information in the evaluation of congenital malformations and the fetal brain function, as its development is driven by genetic factors at early stages of embryogenesis. Three-dimensional ultrasound (3DUS) can provide information about the facial morphology of the fetus, but its use for prenatal diagnosis is challenging due to imaging noise, fetal movements, limited field-of-view, low soft-tissue contrast, and occlusions. In this paper, we propose a fetal face reconstruction algorithm from 3DUS images based on a novel statistical morphable model of newborn faces, the BabyFM. We test the feasibility of using newborn statistics to accurately reconstruct fetal faces by fitting the regularized morphable model to the noisy 3DUS images. The algorithm is capable of reconstructing the whole facial morphology of babies from one or several ultrasound scans to handle adverse conditions (e.g. missing parts, noisy data), and it has the potential to aid in-utero di agnosis for conditions that involve facial dysmorphology.
dc.description.sponsorship This work is partly supported by the Spanish Ministry of Economy and Competitiveness under project grant TIN2017-90124-P, and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher SciTePress. Science and Technology Publications
dc.relation.ispartof Farinella GM, Radeva P, Braz J, Bouatouch K, editors. VISIGRAPP 2021: Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; 2021 Feb 8-10; Setúbal, Portugal. Setúbal: Scitepress; 2021. p. 615-24
dc.rights This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title 3D fetal face reconstruction from ultrasound imaging
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.5220/0010340306150624
dc.subject.keyword Craniofacial morphology
dc.subject.keyword 3D morphable model
dc.subject.keyword Facial dysmorphology
dc.subject.keyword Fetal reconstruction
dc.subject.keyword Prenatal diagnosis
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/TIN2017-90124-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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