Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes

Tu, Liyun; Porras, Antonio R.; Morales, Araceli; Pérez, Daniel; Piella, Gemma; Sukno, Federico M.; Linguraru, Marius George

doi:10.1007/978-3-030-32689-0_19

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…In the last decades, statistical shape modelling has seen many potent development to describe population of 3D objects. In particular, morphable face models have been used to describe facial dysmorphisms 19,20 with potential applications such as the early detection of genetic syndromes 21 . The quantitative analysis of the fetal face has however been limited by the difficult reconstruction of the 3D surface 17 .…”

Section: Shape Referencementioning

confidence: 99%

Fetal face shape analysis from prenatal 3D ultrasound images

Sivera,

Clark,

Dall’Asta

et al. 2024

Sci Rep

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Abstract3D ultrasound imaging of fetal faces has been predominantly confined to qualitative assessment. Many genetic conditions evade diagnosis and identification could assist with parental counselling, pregnancy management and neonatal care planning. We describe a methodology to build a shape model of the third trimester fetal face from 3D ultrasound and show how it can objectively describe morphological features and gestational-age related changes of normal fetal faces. 135 fetal face 3D ultrasound volumes (117 appropriately grown, 18 growth-restricted) of 24-34 weeks gestation were included. A 3D surface model of each face was obtained using a semi-automatic segmentation workflow. Size normalisation and rescaling was performed using a growth model giving the average size at every gestation. The model demonstrated a similar growth rate to standard head circumference reference charts. A landmark-free morphometry model was estimated to characterize shape differences using non-linear deformations of an idealized template face. Advancing gestation is associated with widening/fullness of the cheeks, contraction of the chin and deepening of the eyes. Fetal growth restriction is associated with a smaller average facial size but no morphological differences. This model may eventually be used as a reference to assist in the prenatal diagnosis of congenital anomalies with characteristic facial dysmorphisms.

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Section: Shape Referencementioning

confidence: 99%

Fetal face shape analysis from prenatal 3D ultrasound images

Sivera,

Clark,

Dall’Asta

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The problem of identifying and locating landmarks in human face images has triggered major research efforts in the computer vision community, as it can be applied to various contexts: subject identification [26,27], recognition of facial expressions [28,29], sentiment analysis [30], detection of genetic syndromes [31], etc. Active appearance models (AAM) [32] and constrained local models (CLM) [33] were among the first methods to achieve satisfactory generalization capabilities, even with few training images [34].…”

Section: 'General-purpose' Facial Landmarksmentioning

confidence: 99%

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks

García-García

Lee

Mendoza-Garcés

et al. 2023

Computer Methods and Programs in Biomedicine

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“…Morphable face models have shown their potential to help diagnose congenital abnormalities from 3D scans 19,20 , including in newborns 21 . Prenatal diagnosis has been however more challenging.…”

Section: Introductionmentioning

confidence: 99%

Fetal face shape analysis from prenatal 3D ultrasound images

Sivera

Clark

Dall’Asta

et al. 2023

Preprint

View full text Add to dashboard Cite

3D ultrasound imaging of fetal faces has been predominantly confined to qualitative assessment. Many genetic conditions evade diagnosis and identification could assist with parental counselling, pregnancy management and neonatal care planning. We describe a methodology to build a shape model of the third trimester fetal face from 3D ultrasound and show how it can objectively describe morphological features and gestational-age related changes of normal fetal faces. 135 fetal face 3D ultrasound volumes (117 appropriately grown, 18 growth-restricted) of 24-34 weeks gestation were included. A 3D surface model of each face was obtained using a semi-automatic segmentation workflow. Size normalisation and rescaling was performed using a growth model giving the average size at every gestation. The model demonstrated a similar growth rate to standard head circumference reference charts. A landmark-free morphometry model was estimated to characterize shape differences using non-linear deformations of an idealized template face. Advancing gestation is associated with widening/fullness of the cheeks, contraction of the chin and deepening of the eyes. Fetal growth restriction is associated with a smaller average facial size but no morphological differences. This model may eventually be used as a reference to assist in the diagnosis of congenital anomalies with characteristic facial dysmorphisms.

show abstract

Three-Dimensional Face Reconstruction from Uncalibrated Photographs: Application to Early Detection of Genetic Syndromes

Cited by 5 publications

References 20 publications

Fetal face shape analysis from prenatal 3D ultrasound images

Fetal face shape analysis from prenatal 3D ultrasound images

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks

Fetal face shape analysis from prenatal 3D ultrasound images

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