A new automatic algorithm to extract craniofacial measurements from fetal three‐dimensional volumes

Tsai, Perng Jy; Chen, H.-C.; Huang, Hsien‐Cheng; Chang, Cheng-Yen; Fan, Po-Sheng; Huang, Chih-Hsu; Cheng, Yi–Chen; Chang, Feng-Cheng; Sun, Yung-Nien

doi:10.1002/uog.10104

Cited by 8 publications

(6 citation statements)

References 25 publications

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“…Cone‐beam CT images have been used to coregister skull morphology with 3D facial photographs in a similar fashion [Cheung et al, 2011]. 3D ultrasound images need much more sophisticated preprocessing before usable craniofacial features and measurements are retrievable [Tsai et al, 2011].…”

Section: D Image Capture and Preparation Before Analysismentioning

confidence: 99%

Large-scale objective phenotyping of 3D facial morphology

Hammond¹,

Suttie²

2012

Hum. Mutat.

113

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Abnormal phenotypes have played significant roles in the discovery of gene function, but organized collection of phenotype data has been overshadowed by developments in sequencing technology. In order to study phenotypes systematically, large-scale projects with standardized objective assessment across populations are considered necessary. The report of the 2006 Human Variome Project meeting recommended documentation of phenotypes through electronic means by collaborative groups of computational scientists and clinicians using standard, structured descriptions of disease-specific phenotypes. In this report, we describe progress over the past decade in 3D digital imaging and shape analysis of the face, and future prospects for large-scale facial phenotyping. Illustrative examples are given throughout using a collection of 1107 3D face images of healthy controls and individuals with a range of genetic conditions involving facial dysmorphism.

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Section: D Image Capture and Preparation Before Analysismentioning

confidence: 99%

Large-scale objective phenotyping of 3D facial morphology

Hammond¹,

Suttie²

2012

Hum. Mutat.

113

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“…In [24], for example, the authors only used the mean distance to compare segmentations of fetal faces, seeking clinical evaluation of their segmentation tool. In clinical studies, such as in [42], only correlations of specific biometric measures are studied.…”

Section: E Quantitative Evaluation Of the Segmentation Results Accuracymentioning

confidence: 99%

Automatic Segmentation of Antenatal 3-D Ultrasound Images

Anquez

Angelini

Grangé

et al. 2013

IEEE Trans. Biomed. Eng.

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“…The interorbital to biparietal diameter ratio decreases from 0.52 at 11 GA to 0.42 at 35 GA. 23 The extraorbital diameter increases from 15 mm at 11 GA to 50 mm at 35 GA, and the interocular diameter increases from 7 mm at 11 GA to 18 mm at 35 GA. 24 Three-dimensional approaches evaluate the interorbital diameter with precision. 25 The volume of the eyeball has positive correlations with gestational age and biparietal diameter. The following index using submit your manuscript | www.dovepress.com Dovepress Dovepress the biparietal diameter has been proposed: square of the eyeball = −0.180 + 0.187 biparietal diameter.…”

Section: Imaging Of the Eyesmentioning

confidence: 98%

Radiological evaluation of the fetal face using three-dimensional ultrasound imaging

Bäumler¹,

Bigorre²,

Faure³

2012

RMI

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This paper reviews screening and three-dimensional diagnostic ultrasound imaging of the fetal face. The different techniques available for analyzing biometric and morphological items of the profile, eyes, ears, lips, and hard and soft palate are commented on and briefly compared with the respective bi-dimensional techniques. The available literature supports the use of three-dimensional ultrasound in difficult prenatal diagnostic conditions because of its diagnostic accuracy, enabling improved safety of perinatal care. Globally, a marked increase has been observed in the accuracy of three-dimensional ultrasound in comparison with the bidimensional approach. Because there is no consensus about the performance of the different three-dimensional techniques, future studies are needed in order to compare them and to find the best technique for analysis of each of the respective facial elements. Universal prenatal standards may integrate these potential new findings in the future. At this time, the existing guidelines for prenatal facial screening should not be changed.

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A new automatic algorithm to extract craniofacial measurements from fetal three‐dimensional volumes

Abstract: Objectives

Cited by 8 publications

References 25 publications

Large-scale objective phenotyping of 3D facial morphology

Large-scale objective phenotyping of 3D facial morphology

Automatic Segmentation of Antenatal 3-D Ultrasound Images

Radiological evaluation of the fetal face using three-dimensional ultrasound imaging

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