Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions
Institut national de recherche en informatique et en automatique · Research Centre Inria Sophia Antipolis - Méditerranée · +2 more institutions
Abstract
We propose an integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function (ODF) estimated from high angular resolution diffusion imaging (HARDI). We show that in order to perform accurate probabilistic tractography, one needs to use a fibre ODF estimation and not the diffusion ODF. We use a new fibre ODF estimation obtained from a sharpening deconvolution transform (SDT) of the diffusion ODF reconstructed from q-ball imaging (QBI). This SDT provides new insight into the relationship between the HARDI signal, the diffusion ODF, and the fibre ODF. We demonstrate that the SDT agrees with classical spherical deconvolution and improves the…
Citation impact
- FWCI
- 20.66
- Percentile
- 100%
- References
- 64
Authors
4- MDMaxime DescoteauxCorresponding
- RDRachid Deriche
Institut national de recherche en informatique et en automatique, Research Centre Inria Sophia Antipolis - Méditerranée
- TRThomas R. Knösche
Max Planck Institute for Human Cognitive and Brain Sciences, Max Planck Society
- AAAlfred Anwander
Max Planck Society, Max Planck Institute for Human Cognitive and Brain Sciences
Topics & keywords
- Tractography
- Deconvolution
- Probabilistic logic
- Diffusion MRI
- Orientation (vector space)
- Artificial intelligence
- Computer science
- Computer vision