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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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