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Abstract #3326

Coupled fitting of T2 relaxometry and multi-shell diffusion weighted image data

Andrew Melbourne1, Enrico De Vita2,3, John Thornton2,3, and Sebastien Ourselin1

1Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 3UCL Institute of Neurology, University College London, London, United Kingdom

This work combines information from acquisitions of diffusion-weighted and T2 relaxometry data to allow improvements in separating out multiple compartments. This is particularly useful when fitting a multi-compartment diffusion model or a multi-component T2 relaxometry model. Work of this type might allow improved fitting of multi-modal derived parameters such as the g-ratio.

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