Scanner‐based real‐time automated volumetry reporting of the fetus, amniotic fluid, placenta, and umbilical cord for fetal MRI at 0.55T
This work demonstrated the feasibility of multi-regional intra-uterine segmentation, fetal weight estimation, and automated reporting in real-time. This study provides a robust baseline solution for the integration of fully automated scanner-based measurements into fetal MRI reports.
Authors
- Kuberan Pushparajah (ORCID: https://orcid.org/0000-0003-1541-1155)
- Jacqueline Matthew (ORCID: https://orcid.org/0000-0003-4754-0322)
- Dimitrios Siassakos (ORCID: https://orcid.org/0000-0002-1078-9856)
- Tomas Woodgate
- Johannes K. Steinweg (ORCID: https://orcid.org/0000-0002-3366-0932)
- Daniel Cromb (ORCID: https://orcid.org/0000-0002-9814-8841)
- Alena Uus (ORCID: https://orcid.org/0000-0001-5796-2145)
- Milou P.M. van Poppel (ORCID: https://orcid.org/0000-0002-1739-4726)
- Vanessa Kyriakopoulou (ORCID: https://orcid.org/0000-0002-9883-0314)
- Jana Hutter (ORCID: https://orcid.org/0000-0003-3476-3500)
- David Lloyd (ORCID: https://orcid.org/0000-0003-1759-6106)
- Anna Louise David (ORCID: https://orcid.org/0000-0002-0199-6140)
- Jassimran Bansal (ORCID: https://orcid.org/0000-0002-4213-7801)
- Jordina Aviles Verdera (ORCID: https://orcid.org/0009-0007-7575-4244)
- Wendy V. Norman (ORCID: https://orcid.org/0000-0003-4340-7882)
- Mary Rutherford (ORCID: https://orcid.org/0000-0003-3361-1337)
- Joseph V. Hajnal (ORCID: https://orcid.org/0000-0002-2690-5495)
- Lisa Story (ORCID: https://orcid.org/0000-0001-9328-9592)
- Kamilah St Clair
- Sara Neves Silva (ORCID: https://orcid.org/0009-0009-7520-081X)
- Hadi Waheed
Institutions
- University College Hospital (GB)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- King's College School (GB)
- Evelina London Children's Healthcare (GB)
- University College London (GB)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1002/mrm.70097
- Citations
- 1
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 3.49
Funders
- Wellcome Trust
- UK Research and Innovation
- National Institute for Health and Care Research
- King's College London
- Deutsche Forschungsgemeinschaft
- National Institutes of Health
- Medical Research Council
- Engineering and Physical Sciences Research Council