Abstract #0077

Multi-component atlas of fetal brain development via decomposition of diffusion MRI

Maximilian Pietsch^1,2, Daan Christiaens^2,3, Jana Hutter^1,2, Lucilio Cordero-Grande^1,2, Anthony N. Price^1,2, Emer Hughes², David Edwards², Joseph V. Hajnal^1,2, Serena J. Counsell², and J-Donald Tournier^1,2

¹Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ²Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ³Department of Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium

Mapping tissue maturation in the fetal brain with diffusion MRI requires modelling transient processes in early brain development. In this work, we extend a data-driven multi-component framework introduced for modelling neonatal brain development to fetal data of the developing Human Connectome Project (dHCP). To this end, we build weekly templates ranging from 23 to 37 weeks gestational age that consist of one fluid and two orientationally-resolved tissue components. The orientation-resolved components exhibit marked spatial patterns and temporal trajectories, and demonstrate pronounced microstructural changes with gestational age.

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