ArticleFrontiers in neuroscience2022
Semi-automatic segmentation of the fetal brain from magnetic resonance imaging.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Fetal Assessment Suite (FetAS): a web-based platform for automatic fetal MRI analysis using AI.Scientific reports · 2025Article
- Early functional organization of the anterior and posterior hippocampus in the fetal brain.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Age-Related Changes in the Amygdala From In Utero to Early Childhood: Association With Social and Cognitive Outcomes.Human brain mapping · 2025Article
- T2* Mapping of Placental Oxygenation to Estimate Fetal Cortical and Subcortical Maturation.JAMA network open · 2024Article
- Sex- and age-based differences in fetal and early childhood hippocampus maturation: a cross-sectional and longitudinal analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Default mode network functional connectivity strength in utero and the association with fetal subcortical development.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
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Abstract
Background: Volumetric measurements of fetal brain maturation in the third trimester of pregnancy are key predictors of developmental outcomes. Improved understanding of fetal brain development trajectories may aid in identifying and clinically managing at-risk fetuses. Currently, fetal brain structures in magnetic resonance images (MRI) are often manually segmented, which requires both time and expertise. To facilitate the targeting and measurement of brain structures in the fetus, we compared the results of five segmentation methods applied to fetal brain MRI data to gold-standard manual tracings. Methods: Adult women with singleton pregnancies ( Results: Comparing cerebellum and thalamus masks against the manually segmented masks, the median DSC values for ANTs and FLIRT were 0.72 [interquartile range (IQR) = 0.6-0.8] and 0.54 (IQR = 0.4-0.6), respectively. A Friedman's test indicated that the ANTs registration methods, primarily nonlinear methods, performed better than FLIRT ( Conclusion: Deformable registration methods provided the most accurate results relative to manual segmentation. Overall, this semi-automatic subcortical segmentation method provides reliable performance to segment subcortical volumes in fetal MR images. This method reduces the costs of manual segmentation, facilitating the measurement of typical and atypical fetal brain development.
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