A computer-guided imaging system for prenatal screening and comprehensive diagnosis of fetal abnormalities.
In plain English
AI plain-English summaryHalf of all congenital abnormalities are missed by standard ultrasound scans. This project builds a computer-guided system using multiple ultrasound probes that automatically capture 3D images of the fetus, then compares them against population-based atlases to flag abnormalities. Current screening depends heavily on skilled sonographers, and detection rates vary widely by region. The system aims to remove that human bottleneck, completing a scan in minutes and delivering consistent, higher detection rates regardless of where a patient lives. It also generates high-quality 3D images of the placenta, amniotic fluid, and fetus, which could be linked to genetic and environmental data in large population studies. If successful, the technology would transform prenatal screening from a subjective, operator-dependent process into an automated, standardised one. The immediate impact is on medical diagnostics—specifically, the national screening programme for fetal abnormalities. The richer imaging data could also feed into research on how genetic and environmental factors shape fetal development, though that is a downstream benefit, not the project’s primary aim.
View original technical description
View the original record at the funder ↗
Researchers
Related Research
Grants with similar aims, by meaning.
Original classification
EPSRC/WT Innovative EngineeringPlain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research. Is something wrong? Let us know