Abstract #3522

Multi-contrast diffeomorphic non-linear registration of orientation density functions

Maximilian Pietsch¹, David Raffelt², Thijs Dhollander², and J-Donald Tournier¹

¹Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK, London, United Kingdom, ²Florey Institutes of Neuroscience and Mental Health, Melbourne, Australia

Spatial normalisation of high angular resolution diffusion images (HARDI) is an important prerequisite for group-level analysis of tissue microstructure. In this study, we extend a technique for non-linear registration of orientation density functions by including other non-WM tissue types into the metric driving the registration, and investigate the benefits this provides in terms of overall alignment. Our results show that including additional non-WM tissue types in the registration metric improves the performance of the registration, as assessed by visual inspection (sharper features), and in simulations (slight reduction in residuals)

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