Modelling tissue microstructure during fetal and neonatal brain development relies on robustly sampling diverse, low-SNR image contrast in moving subjects. Here, we extend slice-to-volume reconstruction to multi-echo diffusion MRI, in order to correct subject motion across the combined diffusion-T2*-weighted signal. Our results suggest that the spin echo and gradient echo dMRI signal have different trends across gestational age. Tissue microstructure models could therefore leverage these multidimensional data to reveal new insights in brain development.
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