Journal article

Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping

Fernando Calamante, Robert E Smith, Jacques-Donald Tournier, David Raffelt, Alan Connelly

NeuroImage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2015

Abstract

A biological parameter that would be valuable to be able to extract from diffusion MRI data is the local white matter axonal density. Track-density imaging (TDI) has been used as if it could provide such a measure; however, this has been the subject of controversy, primarily due to the fact that track-count quantitation is highly sensitive to tracking biases and errors. The spherical-deconvolution informed filtering of tractograms (SIFT) post-processing method was recently introduced to minimise tractography biases, and thus provides a more biologically meaningful measure that could be used in track-count mapping (i.e. TDI following SIFT). The TDI intensity following SIFT ideally corresponds..

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Grants

Awarded by Victorian Life Sciences Computation Initiative (VLSCI) grant on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia


Funding Acknowledgements

We are grateful to Farnoosh Sadeghian (Florey Institute of Neuroscience and Mental Health) for help with the data analysis involved in experiment 2. We are also grateful to the National Health and Medical Research Council (NHMRC) of Australia, the Australian Research Council (ARC), and the Victorian Government's Operational Infrastructure Support Grant for their support. This research was also supported by a Victorian Life Sciences Computation Initiative (VLSCI) grant [VR0271] on its Peak Computing Facility at the University of Melbourne, an initiative of the Victorian Government, Australia.