Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-11-246 ISMRM Abstract

Exploring sources of variability in 1.5T and 3T T2-weighted 3D fetal brain MRI reconstructions

Primary: Pediatrics - Neuro
Secondary: Analysis Methods - Data Processing
570-11-246 · Pediatric MR Imaging in Practice · Wednesday, 13 May, 4:55 PM–5:50 PM · Traditional Posters | Exhibition Hall
Keywords: Image Reconstruction Brain volume Quantitative techniques Fetal MRI Volumetry
Accepted
Daniel Cromb1, Alena Uus 1, Irina Grigorescu1, David Lloyd, Kuberan Pushparajah2, Jo V Hajnal1,3,4,5,6,7,8, MARY A RUTHERFORD1, Serena Counsell9
1Research Dept of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
2Kings College London, London, United Kingdom
3King's College London, London, United Kingdom
4Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
5Imaging Physics and Engingeering Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
6Early Life Imaging Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
7Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
8Research Dept of Imaging, Physics & Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
9KCL, London, United Kingdom
Presenting Author: Alena Uus

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References

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2. Christiaens D, Slator PJ, Cordero-Grande L, et al.: In Utero Diffusion MRI: Challenges, Advances, and Applications. Magn Reson Imaging 2019; 28:255.
3. Machado-Rivas F, Jaimes C, Kirsch JE, Gee MS: Image-quality optimization and artifact reduction in fetal magnetic resonance imaging. Pediatr Radiol 2020; 50:1830–1838.
4. Khan AF, Drozd JJ, Moreland RK, et al.: A novel MRI-compatible brain ventricle phantom for validation of segmentation and volumetry methods. J Magn Reson Imaging 2012; 36:476–482.
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8. Price AN, Teixeira RPAG, Cordero‐Grande L, et al.: The developing Human Connectome Project (dHCP): fetal acquisition protocol. 2019.
9. Kuklisova-Murgasova M, Quaghebeur G, Rutherford MA, Hajnal JV, Schnabel JA: Reconstruction of fetal brain MRI with intensity matching and complete outlier removal. Med Image Anal 2012; 16:1550–1564.
10. Uus AU, Silva SN, Verdera JA, et al.: Scanner-based real-time 3D brain+body slice-to-volume reconstruction for T2-weighted 0.55T low field fetal MRI. 2024:2024.04.22.24306177.
11. Xu J, Moyer D, Gagoski B, et al.: NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEETrans Med Imaging 2023; 42:1707–1719.
12. Uus AU, Kyriakopoulou V, Makropoulos A, et al.: BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI. eLife 2023; 12.
13. Fidon L, Aertsen M, Kofler F, et al.: A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. IEEE Trans Pattern Anal Mach Intell 2024; 46:3784–3795.
14. Kyriakopoulou V, Vatansever D, Davidson A, et al.: Normative biometry of the fetal brain using magnetic resonance imaging. Brain Struct Funct 2017; 222:2295–2307.
15. Grigorescu I, Vanes L, Uus A, et al.: Harmonized Segmentation of Neonatal Brain MRI. Front Neurosci 2021; 15:565.
16. Sanchez T, Mihailov A, Koob M, et al.: Biometry and volumetry in multi-centric fetal brain MRI: assessing the bias of super-resolution reconstruction. 2024:2024.09.23.24313965.
17. Uus A, Zhang T, Jackson LH, et al.: Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI. IEEE Trans Med Imaging 2020; 39:2750–2759.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/570-11-246