Towards automated fetal brain biometry reporting for 3-dimensional T2-weighted 0.55-3T magnetic resonance imaging at 20-40 weeks gestational age range
Our approach is the first to develop a fully automated biometry reporting pipeline for 3-D T2-weighted fetal MRI which integrates deep learning-based measurements, centile and z-score calculation vs. normative growth charts and report generation.
Authors
- Jacqueline Matthew (ORCID: https://orcid.org/0000-0003-4754-0322)
- Alexia Egloff (ORCID: https://orcid.org/0000-0002-2005-8328)
- Megan Hall
- Sarah McElroy (ORCID: https://orcid.org/0000-0002-4271-5931)
- Aysha Luis (ORCID: https://orcid.org/0000-0001-5493-099X)
- Alena Uus (ORCID: https://orcid.org/0000-0001-5796-2145)
- Vanessa Kyriakopoulou (ORCID: https://orcid.org/0000-0002-9883-0314)
- Jana Hutter (ORCID: https://orcid.org/0000-0003-3476-3500)
- Jassimran Bansal (ORCID: https://orcid.org/0000-0002-4213-7801)
- Jordina Aviles Verdera (ORCID: https://orcid.org/0009-0007-7575-4244)
- Sophie Arulkumaran (ORCID: https://orcid.org/0000-0002-4510-1767)
- Mary Rutherford (ORCID: https://orcid.org/0000-0003-3361-1337)
- Joseph V. Hajnal (ORCID: https://orcid.org/0000-0002-2690-5495)
- Kathleen Colford (ORCID: https://orcid.org/0000-0001-6501-8867)
- Lisa Story (ORCID: https://orcid.org/0000-0001-9328-9592)
- Sara Neves Silva (ORCID: https://orcid.org/0009-0009-7520-081X)
Institutions
- St Thomas' Hospital (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- Barts Health NHS Trust (GB)
- St George’s University Hospitals NHS Foundation Trust (GB)
- Universitätsklinikum Erlangen (DE)
- Siemens (United Kingdom) (GB)
Publication Details
- Journal
- Pediatric Radiology
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1007/s00247-025-06403-2
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00