3D fetal face reconstruction from ultrasound imaging

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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.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.en
• 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.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.doi http://dx.doi.org/10.5220/0010340306150624
• dc.identifier.issn 2184-4321
• dc.identifier.uri http://hdl.handle.net/10230/47625
• 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.relation.projectID info:eu-repo/grantAgreement/ES/2PN/TIN2017-90124-P
• dc.rights This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Craniofacial morphologyen
• dc.subject.keyword 3D morphable modelen
• dc.subject.keyword Facial dysmorphologyen
• dc.subject.keyword Fetal reconstructionen
• dc.subject.keyword Prenatal diagnosisen
• dc.title 3D fetal face reconstruction from ultrasound imagingen
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion