Automated Craniofacial Biometry with 3D T2w Fetal MRI.

Jacqueline MatthewAlena UusAlexia Egloff ColladoAysha LuisSophie ArulkumaranAbi Fukami-GartnerVanessa KyriakopoulouDaniel CrombRobert WrightKathleen ColfordMaria DeprezJana HutterJonathan O'MuircheartaighChristina MalamateniouReza RazaviLisa StoryJo HajnalMary A Rutherford

Published in: medRxiv : the preprint server for health sciences (2024)

This is the first automated atlas-based protocol using 3D SVR MRI for fetal craniofacial biometrics, accurately revealing morphological craniofacial differences in a T21 cohort. Future work should focus on improving measurement reliability, larger clinical cohorts, and technical advancements, to enhance prenatal care and phenotypic characterisation.

Keyphrases

contrast enhanced
magnetic resonance imaging
deep learning
machine learning
high throughput
healthcare
diffusion weighted imaging
pregnant women
palliative care
randomized controlled trial
single cell
quality improvement
computed tomography
pain management
affordable care act
health insurance