Abstract #3326

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

Andrew Melbourne¹, Enrico De Vita^2,3, John Thornton^2,3, 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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