3D fetal face reconstruction from ultrasound imaging

Alomar Adrover, Antònia; Morales, Araceli; Vellvé, Kilian; Porras Pérez, Antonio Reyes; Crispi Brillas, Fàtima; Linguraru, Marius; Piella Fenoy, Gemma; Sukno, Federico Mateo

doi:http://dx.doi.org/10.5220/0010340306150624

3D fetal face reconstruction from ultrasound imaging

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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

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.

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.