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Abstract #0464

Multi-shell SHARD reconstruction from scattered slice diffusion MRI data in the neonatal brain

Daan Christiaens1, Lucilio Cordero-Grande1, Maximilian Pietsch1, Jana Hutter1, A. David Edwards1, Maria Deprez1, Joseph V. Hajnal1, and J-Donald Tournier1

1Centre for the Developing Brain, School of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Diffusion MRI (dMRI) offers a unique probe into neural connectivity in the developing brain. However, analysis of neonatal brain imaging data is complicated by inevitable subject motion. Here, we develop a method for reconstructing multi-shell HARDI data from scattered slices, jointly estimating an uncorrupted data representation and per-excitation (slice or multiband package) motion parameters. The reconstruction relies on orthogonal decomposition of multi-shell dMRI data using a bespoke spherical harmonics and radial decomposition (SHARD), together with outlier rejection, distortion, and slice profile correction. We evaluate the method on publicly-released datasets for 40 neonatal subjects from the developing Human Connectome Project.

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