Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-05-002 ISMRM Abstract

Automated biometric assessment of cephalopelvic disproportion at term using 3D-reconstructed T2-weighted fetal MRI

Primary: Pediatrics - Prenatal
Secondary: Analysis Methods - Segmentation and Detection
561-05-002 · Advanced MR Techniques in Cervical, Genital, Placental, and Fetal Disorders · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row B
Keywords: Low field Birth mode Automated biometry Cephalopelvic disproportion
Accepted
Simi Bansal1, Alena Uus 1, Yagmur Gerek1, Hadi Waheed1, Sara Neves Silva1, Jordina Aviles Verdera1, Kamilah St Clair1, Vanessa Kyriakopoulou1, Jo V Hajnal1,2, Dimitris Siasakos3,4, Anna David3,4, Manju Chandiramani5, Lisa Story1,5,6, Jana Hutter1,2, MARY A RUTHERFORD1
1Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
2Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
3GOS-UCL Institute of Child Health, University College London, London, United Kingdom
4Elizabeth Garrett Anderson Institute of Women’s Health, University College London, London, United Kingdom
5Fetal Medicine, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
6Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom
Presenting Author: Alena Uus

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References

1. Jaufuraully, S., Dromey, B., Story, L., David, A. L., Attilakos, G., & Siassakos, D. (2022). Magnetic resonance imaging in late pregnancy to improve labour and delivery outcomes – a systematic literature review. BMC Pregnancy and Childbirth, 22(1), 949. https://doi.org/10.1186/s12884-022-05290-x [doi]
2. Li, J., Lou, Y., Chen, C., Zheng, W., Chen, Y., Dong, T., Yang, M., Zhao, B., & Luo, Q. (2023). Predictive Value of MRI Pelvimetry in Vaginal Delivery and Its Practicability in Prolonged Labour—A Prospective Cohort Study. Journal of Clinical Medicine, 12(2). https://doi.org/10.3390/jcm12020442 [doi]
3. Ami, O., Maran, J. C., Cohen, A., Hendler, I., Zabukovek, E., & Boyer, L. (2023). Childbirth simulation to assess cephalopelvic disproportion and chances for failed labor in a French population. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-28459-6 [doi]
4. Uus, A. U., Bansal, S., Gerek, Y., Waheed, H., Silva, S. N., Verdera, J. A., Kyriakopoulou, V., Betti, L., Jaufuraully, S., Hajnal, J. v, Siasakos, D., David, A., Chandiramani, M., Hutter, J., Story, L., & Rutherford, M. A. (2026). Automated Biometry for Assessing Cephalopelvic Disproportion in 3D 0.55T Fetal MRI at Term. In MICCAI PIPPI. Lecture Notes in Computer Science, vol 16118. https://doi.org/10.1007/978-3-032-05997-0_12 [doi]
5. Uus, A., Steinweg, J. K., Ho, A., Jackson, L. H., Hajnal, J. v, Rutherford, M. A., Deprez, M., & Hutter, J. (2020). Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI. In MICCAI PIPPI. Lecture Notes in Computer Science, vol 12437. https://doi.org/10.1007/978-3-030-60334-2_22 [doi]
6. Uus, A., Zhang, T., Jackson, L. H., Roberts, T. A., Rutherford, M. A., Hajnal, J. v., & Deprez, M. (2020). Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI. IEEE Transactions on Medical Imaging, 29(9), 2750–2759. https://doi.org/10.1109/TMI.2020.2974844 [doi]
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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/561-05-002