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Abstract #2869

Multi-tissue constrained spherical deconvolution with spherical mean density estimation

J-Donald Tournier1,2
1Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Synopsis

Keywords: Diffusion Reconstruction, Diffusion/other diffusion imaging techniques

Motivation: Multi-tissue constrained spherical deconvolution (MT-CSD) average densities depend on the local fibre arrangement, as it relies on the non-negativity of the fibre orientation density functions (fODF).

Goal(s): We investigate whether MT-CSD can be performed without influence of the orientation structure of fibre ODF.

Approach: Using the spherical mean of each b-value shell to factor out the angular structure, we rely purely on the different tissue types' b-value dependence, with the angular part of the fODF estimated subsequently .

Results: The method produces plausible, but subtly different results from 'regular' MT-CSD, which appear to be less affected by fibre arrangement. It is also substantially faster.

Impact: The ability to decompose the signal based purely on its spherical mean b-value dependence may provide more reliable density estimates, though this needs further investigation. The computational efficiency of this approach may also make it more suitable for real-time use.

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Keywords