ReviewNeuroImage2019
Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images.
Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Fetal brain MRI atlases and datasets: A review.NeuroImage · 2024Pooled it
- Developmental human brain connectome from fetal stage to early childhood.Developmental cognitive neuroscience · 2026Review
- MRI-based spatio-temporal atlas of ganglionic eminence.European radiology experimental · 2026Article
- Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning.IEEE transactions on medical imaging · 2026Article
- HERON: High-Efficiency Real-Time Motion Quantification and Re-Acquisition for Fetal Diffusion MRI.IEEE transactions on medical imaging · 2025Article
- A computational model of radial scaffolds in the human fetal brain based on MRI.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Prenatal brain connectivity and postnatal language: how familial risk and prenatal speech exposure shape early language skills.Scientific reports · 2025Article
- Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.Human brain mapping · 2025Article
- Diffusion Tensor Imaging of Fetuses With Congenital Diaphragmatic Hernia.Prenatal diagnosis · 2025Article
- FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.NeuroImage · 2025Article
- Regional Changes in the Fetal Telencephalic Wall Diffusion Metrics Across Late Second and Third Trimesters.Human brain mapping · 2025Article
- Stress landscape of folding brain serves as a map for axonal pathfinding.Nature communications · 2025Article
- A detailed spatiotemporal atlas of the white matter tracts for the fetal brain.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction.Perinatal, preterm and paediatric image analysis : 9th international workshop, PIPPI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings · 2025Article
- Holoprosencephaly spectrum: an up-to-date overview of classification, genetics and neuroimaging.Japanese journal of radiology · 2025Review
- HAITCH: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Streamline tractography of the fetal brain in utero with machine learning.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- White Matter Tract Crossing and Bottleneck Regions in the Fetal Brain.Human brain mapping · 2025Article
- Automated Segmentation of Fetal Intracranial Volume in Three-Dimensional Ultrasound Using Deep Learning: Identifying Sex Differences in Prenatal Brain Development.Human brain mapping · 2024Article
- Article
11 more citing papers are in PubMed but not listed here.
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9 authors.
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Abstract
Altered structural fetal brain development has been linked to neuro-developmental disorders. These structural alterations can be potentially detected in utero using diffusion tensor imaging (DTI). However, acquisition and reconstruction of in utero fetal brain DTI remains challenging. Until now, motion-robust DTI methods have been employed for reconstruction of in utero fetal DTIs. However, due to the unconstrained fetal motion and permissible in utero acquisition times, these methods yielded limited success and have typically resulted in noisy DTIs. Consequently, atlases and methods that could enable groupwise studies, multi-modality imaging, and computer-aided diagnosis from in utero DTIs have not yet been developed. This paper presents the first DTI atlas of the fetal brain computed from in utero diffusion-weighted images. For this purpose an algorithm for computing an unbiased spatiotemporal DTI atlas, which integrates kernel-regression in age with a diffeomorphic tensor-to-tensor registration of motion-corrected and reconstructed individual fetal brain DTIs, was developed. Our new algorithm was applied to a set of 67 fetal DTI scans acquired from healthy fetuses each scanned at a gestational age between 21 and 39 weeks. The neurodevelopmental trends in the fetal brain, characterized by the atlas, were qualitatively and quantitatively compared with the observations reported in prior ex vivo and in utero studies, and with results from imaging gestational-age equivalent preterm infants. Our major findings revealed early presence of limbic fiber bundles, followed by the appearance and maturation of projection pathways (characterized by an age related increase in FA) during late 2nd and early 3rd trimesters. During the 3rd trimester association fiber bundles become evident. In parallel with the appearance and maturation of fiber bundles, from 21 to 39 gestational weeks gradual disappearance of the radial coherence of the telencephalic wall was qualitatively identified. These results and analyses show that our DTI atlas of the fetal brain is useful for reliable detection of major neuronal fiber bundle pathways and for characterization of the fetal brain reorganization that occurs in utero. The atlas can also serve as a useful resource for detection of normal and abnormal fetal brain development in utero.
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