ArticleScientific reports2024
Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Roles and applications of artificial intelligence in fetal and placental MRI: a literature review.BMC pregnancy and childbirth · 2026Pooled it
- Automated fetal magnetic resonance imaging lung segmentation for rapid lung volume estimation across diverse pulmonary hypoplasia phenotypes.Pediatric radiology · 2026Article
- Reference Ranges of Maximum Diameter and Volume of the Fetal Large Intestine During the Second-to Third-Trimester: An MRI Study.Prenatal diagnosis · 2026Article
- Diffusion tensor magnetic resonance imaging of the normal fetal lung: a preliminary report.Pediatric radiology · 2026Article
- Regional differences in fetal fat accretion in small-for-gestational-age fetuses assessed by quantitative magnetic resonance imaging.Pediatric radiology · 2026Article
- Normative volumetric growth modeling of the whole fetal body, placenta, and amniotic fluid for three-dimensional T2-weighted magnetic resonance imaging.Pediatric radiology · 2026Article
- Pulmonary T2* quantification of fetuses with congenital diaphragmatic hernia: a retrospective, case-controlled, MRI pilot study.Pediatric research · 2026Article
- ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume.Journal of imaging informatics in medicine · 2026Article
- Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge.Medical image analysis · 2026Article
- Scanner-based real-time automated volumetry reporting of the fetus, amniotic fluid, placenta, and umbilical cord for fetal MRI at 0.55T.Magnetic resonance in medicine · 2026Article
- Normative volumetric growth modeling of the whole fetal body, placenta and amniotic fluid for 3-dimensional T2-weighted magnetic resonance imaging.medRxiv : the preprint server for health sciences · 2026Article
- Fetuses Made Simple: Modeling and Tracking of Fetal Shape and Pose.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- Quantitative assessment of brain sparing effect in fetal growth restriction: structural evidence from fetal MRI.Frontiers in neuroscience · 2026Article
- Fetal Assessment Suite (FetAS): a web-based platform for automatic fetal MRI analysis using AI.Scientific reports · 2025Article
- Lung volume segmentation in fetal MRI: super-resolution reconstructions improve inter-rater reliability.European radiology experimental · 2025Article
- Predicting adverse perinatal outcomes in small-for-gestational-age fetuses using MRI, ultrasound, and clinical data.Radiology advances · 2025Article
- Functional assessment of brain development in fetuses that subsequently deliver very preterm: An MRI pilot study.Prenatal diagnosis · 2024Article
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13 authors.
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Abstract
Structural fetal body MRI provides true 3D information required for volumetry of fetal organs. However, current clinical and research practice primarily relies on manual slice-wise segmentation of raw T2-weighted stacks, which is time consuming, subject to inter- and intra-observer bias and affected by motion-corruption. Furthermore, there are no existing standard guidelines defining a universal approach to parcellation of fetal organs. This work produces the first parcellation protocol of the fetal body organs for motion-corrected 3D fetal body MRI. It includes 10 organ ROIs relevant to fetal quantitative volumetry studies. We also introduce the first population-averaged T2w MRI atlas of the fetal body. The protocol was used as a basis for training of a neural network for automated organ segmentation. It showed robust performance for different gestational ages. This solution minimises the need for manual editing and significantly reduces time. The general feasibility of the proposed pipeline was also assessed by analysis of organ growth charts created from automated parcellations of 91 normal control 3T MRI datasets that showed expected increase in volumetry during 22-38 weeks gestational age range.
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