Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model
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- dc.contributor.author Alomar Adrover, Antònia
- dc.contributor.author Morales, Araceli
- dc.contributor.author Vellvé, Kilian
- dc.contributor.author Porras, Antonio R.
- dc.contributor.author Crispi, Fatima
- dc.contributor.author Linguraru, Marius George
- dc.contributor.author Piella Fenoy, Gemma
- dc.contributor.author Sukno, Federico Mateo
- dc.date.accessioned 2023-02-23T07:08:51Z
- dc.date.available 2023-02-23T07:08:51Z
- dc.date.issued 2022
- dc.description.abstract Background and objective: The fetal face is an essential source of information in the assessment of congenital malformations and neurological anomalies. Disturbance in early stages of development can lead to a wide range of effects, from subtle changes in facial and neurological features to characteristic facial shapes observed in craniofacial syndromes. Three-dimensional ultrasound (3D US) can provide more detailed information about the facial morphology of the fetus than the conventional 2D US, but its use for pre-natal diagnosis is challenging due to imaging noise, fetal movements, limited field-of-view, low soft-tissue contrast, and occlusions. Methods: In this paper, we propose the use of a novel statistical morphable model of newborn faces, the BabyFM, for fetal face reconstruction from 3D US images. We test the feasibility of using newborn statistics to accurately reconstruct fetal faces by fitting the regularized morphable model to the noisy 3D US images. Results: The results indicate that the reconstructions are quite accurate in the central-face and less reliable in the lateral regions (mean point-to-surface error of 2.35 mm vs 4.86 mm). The algorithm is able to reconstruct the whole facial morphology of babies from US scans while handle adverse conditions (e.g. missing parts, noisy data). Conclusions: The proposed algorithm has the potential to aid in-utero diagnosis for conditions that involve facial dysmorphology.
- dc.description.sponsorship This work is partly supported by the eSCANFace project (PID2020-114083GB-I00) funded by the Spanish Ministry of Science and Innovation, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development grant R42HD081712. A. Alomar was supported by AGAUR under the FI scholarship and G. Piella was supported by ICREA under the ICREA Academia programme.
- dc.format.mimetype application/pdf
- dc.identifier.citation Alomar A, Morales A, Vellvé K, Porras AR, Crispi F, Linguraru MG, Piella G, Sukno F. Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model. Comput Methods Programs Biomed. 2022;221:106893. DOI: 10.1016/j.cmpb.2022.106893
- dc.identifier.doi http://dx.doi.org/10.1016/j.cmpb.2022.106893
- dc.identifier.issn 0169-2607
- dc.identifier.uri http://hdl.handle.net/10230/55878
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Computer Methods and Programs in Biomedicine. 2022;221:106893.
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-114083GB-I00
- dc.rights © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Craniofacial defects
- dc.subject.keyword 3D statistical shape model
- dc.subject.keyword Physical defects
- dc.subject.keyword 3D segmentation
- dc.subject.keyword Fetal face
- dc.title Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion