scholarly journals Automated measurement of fetal head circumference using 2D ultrasound images

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0200412 ◽  
Author(s):  
Thomas L. A. van den Heuvel ◽  
Dagmar de Bruijn ◽  
Chris L. de Korte ◽  
Bram van Ginneken
Keyword(s):  
Head Circumference ◽  
Ultrasound Images ◽  
Automated Measurement ◽  
Fetal Head ◽  
2D Ultrasound

scholarly journals A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images

2016 ◽  
Vol 61 (3) ◽  
pp. 1095-1115 ◽  
Author(s):  
Lei Zhang ◽  
Xujiong Ye ◽  
Tryphon Lambrou ◽  
Wenting Duan ◽  
Nigel Allinson ◽  
...  
Keyword(s):  
Automatic Segmentation ◽  
Ultrasound Images ◽  
Fetal Head ◽  
2D Ultrasound

AN AUTOMATIC SYSTEM FOR ESTIMATING FETUS HEAD CIRCUMFERENCE USING 2D ULTRASOUND IMAGES

2021 ◽  
Author(s):  
Tran Tuan Canh ◽  
Tran Dinh Toan ◽  
Le Minh Hung ◽  
Tran Van Lang
Keyword(s):  
Head Circumference ◽  
Automatic System ◽  
Ultrasound Images ◽  
2D Ultrasound

scholarly journals Mask-R$$^{2}$$CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

2021 ◽  
Author(s):  
Sara Moccia ◽  
Maria Chiara Fiorentino ◽  
Emanuele Frontoni
Keyword(s):  
Fetal Growth ◽  
A Priori ◽  
Absolute Difference ◽  
Ultrasound Images ◽  
Fetal Head ◽  
Mean Absolute Difference ◽  
Distance Field ◽  
Feature Pyramid ◽  
End To End ◽  
Ablation Study

Abstract Background and objectives Fetal head-circumference (HC) measurement from ultrasound (US) images provides useful hints for assessing fetal growth. Such measurement is performed manually during the actual clinical practice, posing issues relevant to intra- and inter-clinician variability. This work presents a fully automatic, deep-learning-based approach to HC delineation, which we named Mask-R$$^{2}$$ 2 CNN. It advances our previous work in the field and performs HC distance-field regression in an end-to-end fashion, without requiring a priori HC localization nor any postprocessing for outlier removal. Methods Mask-R$$^{2}$$ 2 CNN follows the Mask-RCNN architecture, with a backbone inspired by feature-pyramid networks, a region-proposal network and the ROI align. The Mask-RCNN segmentation head is here modified to regress the HC distance field. Results Mask-R$$^{2}$$ 2 CNN was tested on the HC18 Challenge dataset, which consists of 999 training and 335 testing images. With a comprehensive ablation study, we showed that Mask-R$$^{2}$$ 2 CNN achieved a mean absolute difference of 1.95 mm (standard deviation $$=\pm 1.92$$ = ± 1.92  mm), outperforming other approaches in the literature. Conclusions With this work, we proposed an end-to-end model for HC distance-field regression. With our experimental results, we showed that Mask-R$$^{2}$$ 2 CNN may be an effective support for clinicians for assessing fetal growth.

scholarly journals Pregnancy outcomes in women with preexisting thyroid diseases: a French cohort study

2020 ◽  
pp. 1-10
Author(s):  
Marion Lecorguillé ◽  
Juliane Léger ◽  
Anne Forhan ◽  
Marie Cheminat ◽  
Marie-Noëlle Dufourg ◽  
...  
Keyword(s):  
Thyroid Hormone ◽  
Gestational Diabetes ◽  
Head Circumference ◽  
Thyroid Diseases ◽  
Premature Rupture Of Membranes ◽  
Premature Rupture ◽  
Fetal Head ◽  
History Of ◽  
Multivariable Regression ◽  
Multivariable Regression Models

Abstract Women with thyroid diseases at the beginning of pregnancy may have suboptimal thyroid hormone levels because of potential difficulties in compensating for the physiological thyroid hormone changes occurring in pregnancy. Our objective was to study the association between preexisting thyroid diseases, pregnancy complications, and neonatal anthropometry. In total, 16,395 women from the ELFE French longitudinal birth cohort were included, and 273 declared pre-pregnancy thyroid diseases. Associations were investigated with multivariable regression models, with adjustment for relevant potential confounders. Body mass index (BMI) was additionally adjusted for in a second stage. As compared with other women, women with pre-pregnancy thyroid diseases were more frequently obese (19.6% vs. 9.8%) and had greater odds of gestational diabetes development (odds ratio [OR] = 1.58 [95% confidence interval [CI] 1.08, 2.30]) or had undergone treatment for infertility (OR = 1.57 [95% CI 1.07, 2.31]). After adjustment for BMI, the association with gestational diabetes was no longer significant (OR = 1.27 [95% CI 0.86, 1.88]). After excluding women with another medical history, those with pre-pregnancy thyroid diseases had increased odds of premature rupture of membranes (OR = 1.51 [95% CI 1.01, 2.25]). Children born from mothers with hypothyroidism before conception due to a disease or as a potential side effect of treatment had a smaller head circumference at birth than other children (β = −0.23 [95% CI −0.44, −0.01] cm). In conclusion, pre-pregnancy thyroid diseases were associated with risk of infertility treatment, gestational diabetes, and premature rupture of membranes. The association between history of hypothyroidism and moderate adverse effects on fetal head circumference growth needs replication.

scholarly journals Maternal bisphenol urine concentrations, fetal growth and adverse birth outcomes: A population-based prospective cohort

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Chalana M. Sol ◽  
Charissa van Zwol - Janssens ◽  
Elise M. Philips ◽  
Alexandros G. Asimakopoulos ◽  
Maria-Pilar Martinez-Moral ◽  
...  
Keyword(s):  
Birth Outcomes ◽  
Fetal Growth ◽  
Head Circumference ◽  
Lower Risk ◽  
First Trimester ◽  
Population Based ◽  
Third Trimester ◽  
Bisphenol S ◽  
Fetal Head ◽  
Urine Concentrations

Abstract Background Exposure to bisphenols may affect fetal growth and development. The trimester-specific effects of bisphenols on repeated measures of fetal growth remain unknown. Our objective was to assess the associations of maternal bisphenol urine concentrations with fetal growth measures and birth outcomes and identify potential critical exposure periods. Methods In a population-based prospective cohort study among 1379 pregnant women, we measured maternal bisphenol A, S and F urine concentrations in the first, second and third trimester. Fetal head circumference, length and weight were measured in the second and third trimester by ultrasound and at birth. Results An interquartile range increase in maternal pregnancy-averaged bisphenol S concentrations was associated with larger fetal head circumference (difference 0.18 (95% confidence interval (CI) 0.01 to 0.34) standard deviation scores (SDS), p-value< 0.05) across pregnancy. When focusing on specific critical exposure periods, any detection of first trimester bisphenol S was associated with larger second and third trimester fetal head circumference (difference 0.15 (95% CI 0.05 to 0.26) and 0.12 (95% CI 0.02 to 0.23) SDS, respectively) and fetal weight (difference 0.12 (95% CI 0.02 to 0.22) and 0.16 (95% CI 0.06 to 0.26) SDS, respectively). The other bisphenols were not consistently associated with fetal growth outcomes. Any detection of bisphenol S and bisphenol F in first trimester was also associated with a lower risk of being born small size for gestational age (Odds Ratio 0.56 (95% CI 0.38 to 0.74) and 0.55 (95% CI 0.36 to 0.85), respectively). Bisphenols were not associated with risk of preterm birth. Conclusions Higher maternal bisphenol S urine concentrations, especially in the first trimester, seem to be related with larger fetal head circumference, higher weight and a lower risk of being small size for gestational age at birth.

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