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November 14, 2025Pediatric RadiologyOpen Access

Towards automated fetal brain biometry reporting for 3-dimensional T2-weighted 0.55-3T magnetic resonance imaging at 20-40 weeks gestational age range

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Authors

ALAysha LuisAUAlena UusJMJacqueline Matthew

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Overview

Automated biometry method shows good agreement with manual measurements in fetal MRI, suggesting improved clinical workflow.

Key Points

  • To implement a fully automated biometry reporting pipeline for 3-D T2-weighted fetal brain MRI.
  • Utilized deep learning for anatomical landmark localization in 3-D T2W MRI images.
  • Evaluated the automated method against expert manual measurements on 90 retrospective cases.
  • Prospectively assessed the pipeline on 111 cases across varying gestational ages and scanning parameters.
  • Generated normal centile ranges from 406 control datasets.
  • Achieved 1-3 mm maximum absolute difference between automated and manual measurements.
  • Over 98% of landmark placements were graded as acceptable.
  • Processing time for the pipeline was less than 5 minutes per case.
  • Generated normative growth charts that align with previously reported trends.

Cite This Study

Luis et al. (2025) studied this question.

synapsesocial.com/papers/692519acc0ce034ddc3541a0https://doi.org/10.1007/s00247-025-06403-2
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