Journal article

Fourier Tract Sampling (FouTS): A framework for improved inference of white matter tracts from diffusion MRI by explicitly modelling tract volume

Thomas G Close, Jacques-Donald Tournier, Leigh A Johnston, Fernando Calamante, Iven Mareels, Alan Connelly



Diffusion MRI tractography algorithm development is increasingly moving towards global techniques to incorporate "downstream" information and conditional probabilities between neighbouring tracts. Such approaches also enable white matter to be represented more tangibly than the abstract lines generated by the most common approaches to fibre tracking. However, previously proposed algorithms still use fibre-like models of white matter corresponding to thin strands of white matter tracts rather than the tracts themselves, and therefore require many components for accurate representations, which leads to poorly constrained inverse problems. We propose a novel tract-based model of white matter, t..

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Awarded by National Health and Medical Research Council (NHMRC) of Australia

Awarded by Australian Research Council (ARC)

Awarded by Australian Research Council

Funding Acknowledgements

Funding for work presented here was supported in part by a studentship from the National ICT Australia (NICTA), Life Sciences division. National ICT Australia is funded by the Australian Government's Department of Communications, Information Technology, and the Arts and the Australian Research Council through Backing Australia's Ability and the ICT Research Centre of Excellence programs. We are also grateful to the National Health and Medical Research Council (NHMRC) of Australia (APP628952, APP1026077), the Australian Research Council (ARC) (FT110100726), and the Victorian Government's Operational Infrastructure Support Grant for their support.