Multi-fiber reconstruction from high-angular resolution diffusion imaging using higher-order tensors,
spherical de-convolution methods,
estimation of tractosemas for fiber tracking using diffusion of asymmetric spherical functions.
Collaborators
Paul R. Carney, MD
John R. Forder, PhD
Dena Howland, PhD
Bing Jian, PhD
Ritwik Kumar, PhD
Thomas H. Mareci, PhD
Baba C. Vemuri, PhD
Selected Publications
A. Barmpoutis, B. Jian, B. C. Vemuri, "Adaptive kernels for multi-fiber reconstruction", IPMI, 2009
A. Barmpoutis, B. C. Vemuri, D. Howland, J. R. Forder, "Regular Positive-Definite Fourth-Order Tensor Field Estimation from DW-MRI", NeuroImage, 2009
A. Barmpoutis, B. C. Vemuri, D. Howland and J. R. Forder. "Extracting Tractosemas from a displacement probability field for tractography". MICCAI, 2008
R. Kumar, A. Barmpoutis and B. C. Vemuri. "Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions". MMBIA, 2008
A. Barmpoutis, B. C. Vemuri and J. R. Forder. "Fast displacement probability profile approximation from HARDI using 4th-order tensors". ISBI, 2008
This animation shows a real data example from an isolated rat hippocampus. In the beginning of the animation a
field of water molecule displacement probability iso-surfaces is shown, estimated using 2nd-order tensorial approximations.
One can see that this model fails to parametrize fiber crossings.
Then, the probabilities corresponding to 4th-order tensorial approximation of the diffusivity are shown. Several fiber crossing profiles are now visible in the spherical function field.
Finally, the peaks of some spesific probabilities are followed producing fiber tracks with crossings.
