Abstract #2342

Feto-placental oxygenation and brain development in fetal growth restriction

Emily Peacock¹, Paponrad Tontivuthikul², Joanna Chappell¹, Nada Mufti^1,2, Janina Schellenberg², Michael Ebner¹, Sebastien Ourselin^1,3, Anna David^2,4,5, Rosalind Aughwane², and Andrew Melbourne^1,2,3

¹School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, United Kingdom, ³Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ⁴University Hospital KU Leuven, Leuven, Belgium, ⁵5NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom

Synopsis

Keywords: Image Reconstruction, Brain, Fetus, Machine LearningState-of-the-art machine learning algorithms were applied to create MRI 3D super-resolution reconstructions of fetal brains to analyse brain development in fetal growth restriction. Reconstructions were segmented into the grey matter, white matter, deep grey matter, cerebellum and brainstem, and volumetric and cortical surface data was extracted. We found that the five brain regions segmented were significantly smaller in the FGR cohort than in controls, and that this effect was linked to feto-placental blood oxygen saturation. FGR fetuses showed evidence of brain sparing from MRI and ultrasound measurements and preservation of tissue relationships, such as the grey:white matter ratio.

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