Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
452-01-004 / 452-01-004 ISMRM Abstract

Multi-BOUNTI: Multi-lobe Brain vOlUmetry and segmeNtation for feTal and neonatal MRI

Accepted
Alena Uus 1, Abi Fukami-Gartner1, Vanessa Kyriakopoulou1, Daniel Cromb1, Taeona Morgan1, Sophie Arulkumaran1, Aysha Luis1, Roos Bos2, Antonis Makropoulos3, Andreas Schuh3, Emma Robinson4, Maria Deprez4, Lucilio Cordero-Grande5, Jonathan O'Muircheartaigh1,6, Alexia Egloff Collado1, Kathleen E Colford1, Daniel Rueckert3,7, Serena Counsell1, Jana Hutter1,8,9, Grainne McAlonan6, Tomoki Arichi1,9, David Edwards1, Jo V Hajnal1,9, MARY A RUTHERFORD1, Lisa Story1,10,11
1Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
2Department of Neonatology, UMC Utrecht, Utrecht, Netherlands
3Department of Computing, Imperial College London, London, United Kingdom
4Research department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
5Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain
6Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
7Chair for AI in Healthcare and Medicine, Technical University of Munich and TUM University Hospital, Munich, Germany
8Smart Imaging Lab, Radiological Institute, University Hospital Erlangen (UKER), Erlangen, Germany
9Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
10Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, United Kingdom
11Fetal Medicine, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
Presenting Author: Alena Uus

Synopsis

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References

1. Grigorescu, I., Vanes, L., Uus, A., Batalle, D., Cordero-Grande, L., Nosarti, C., Edwards, A. D., Hajnal, J. v, Modat, M., & Deprez, M. (2021). Harmonized Segmentation of Neonatal Brain MRI. Frontiers in Neuroscience, 15, 565. https://doi.org/10.3389/fnins.2021.662005 [doi]
2. Uus, A. U., Kyriakopoulou, V., Makropoulos, A., Fukami-Gartner, A., Cromb, D., Davidson, A., Cordero-Grande, L., Price, A. N., Grigorescu, I., Williams, L. Z. J., Robinson, E. C., Lloyd, D., Pushparajah, K., Story, L., Hutter, J., Counsell, S. J., Edwards, A. D., Rutherford, M. A., Hajnal, J. v, & Deprez, M. (2023a). BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI. ELife, 12:RP88818. https://doi.org/10.7554/elife.88818.1 [doi]
3. Gholipour, A., Rollins, C. K., Velasco-Annis, C., Ouaalam, A., Akhondi-Asl, A., Afacan, O., Ortinau, C. M., Clancy, S., Limperopoulos, C., Yang, E., Estroff, J. A., & Warfield, S. K. (2017). A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth. Nature: Scientific Reports, 7(476), 1–13. https://doi.org/10.1038/s41598-017-00525-w [doi]
4. Makropoulos, A., Robinson, E. C., Schuh, A., Wright, R., Fitzgibbon, S., Bozek, J., Counsell, S. J., Steinweg, J., Vecchiato, K., Passerat-Palmbach, J., Lenz, G., Mortari, F., Tenev, T., Duff, E. P., Bastiani, M., Cordero-Grande, L., Hughes, E., Tusor, N., Tournier, J.-D., … Rueckert, D. (2018). The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction Europe PMC Funders Group. Neuroimage, 173, 88–112. https://doi.org/10.1101/125526 [doi]
5. Adamson, C. L., Alexander, B., Kelly, C. E., Ball, G., Beare, R., Cheong, J. L. Y., Spittle, A. J., Doyle, L. W., Anderson, P. J., Seal, M. L., & Thompson, D. K. (2024). Updates to the Melbourne Children’s Regional Infant Brain Software Package (M-CRIB-S). Neuroinformatics, 22(2), 207–223. https://doi.org/10.1007/s12021-024-09656-8 [doi]
6. Edwards, A. D., Rueckert, D., Smith, S. M., Abo Seada, S., Alansary, A., Almalbis, J., Allsop, J., Andersson, J., Arichi, T., Arulkumaran, S., Bastiani, M., Batalle, D., Baxter, L., Bozek, J., Braithwaite, E., Brandon, J., Carney, O., Chew, A., Christiaens, D., … Hajnal, J. v. (2022). The Developing Human Connectome Project Neonatal Data Release. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.886772 [doi]
7. Uus, A. U., Hall, M., Payette, K., Hajnal, J. v, Deprez, M., Rutherford, M. A., Hutter, J., & Story, L. (2023b). Combined Quantitative T2* Map and Structural T2-Weighted Tissue-Specific Analysis for Fetal Brain MRI: Pilot Automated Pipeline. In MICCAI PIPPI workshop 2023. LNCS vol 14246, pp. 28–38. https://doi.org/10.1007/978-3-031-45544-5_3 [doi]
8. Tustison, N. J., & Gee, J. C. (2009). N4ITK: Nick’s N3 ITK Implementation For MRI Bias Field Correction. InsightJournal, 1–8.
9. Cicek, O., Abdulkadir, A., Lienkamp, S. S., Brox, T., & Ronneberger, O. (2016). 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. ArXiv, abs/1606.06650.
10. Cardoso, M. J., Li, W., Brown, R., Ma, N., Kerfoot, E., Wang, Y., Murrey, B., Myronenko, A., Zhao, C., Yang, D., Nath, V., He, Y., Xu, Z., Hatamizadeh, A., Myronenko, A., Zhu, W., Liu, Y., Zheng, M., Tang, Y., … Feng, A. (2022). MONAI: An open-source framework for deep learning in healthcare. http://arxiv.org/abs/2211.02701
11. Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage, 31(3), 1116–1128. https://doi.org/https://doi.org/10.1016/j.neuroimage.2006.01.015 [doi]
12. Modi, N., Bétrémieux, P., Midgley, J., & Hartnoll, G. (2000). Postnatal weight loss and contraction of the extracellular compartment is triggered by atrial natriuretic peptide. Early Human Development, 59(3), 201–208. https://doi.org/https://doi.org/10.1016/S0378-3782(00)00097-9 [doi]

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