High Angular Resolution Diffusion Imaging (HARDI) holds the promise to provide insight in connectivity of the human brain in vivo. Based on this technique a number of different approaches has been proposed to estimate the ¿ber orientation distribution, which is crucial for ¿ber tracking. A spherical harmonic representation is convenient for regularization and the construction of orientation distribution functions (ODFs), whereas maxima detection and ¿ber tracking techniques are most naturally formulated using a tensor representation. We give an analytical formulation to bridge the gap between the two representations, which admits regularization and ODF construction directly in the tensor basis.
|Title of host publication||Proceedings of the MICCAI 2012 Workshop on Computational Diffusion MRI (CDMRI'12, Nice, France, October 5, 2012)|
|Editors||E. Panagiotaki, L. O'Donnell, T. Schultz, G.H. Zhang|
|Place of Publication||London|
|Publisher||UCL Centre for Medical Image Computing|
|Publication status||Published - 2012|
|Event||MICCAI 2012 Workshop on Computational Diffusion MRI (CDMRI '12), October 5, 2012, Nice, France - Nice, France|
Duration: 5 Oct 2012 → 5 Oct 2012
|Workshop||MICCAI 2012 Workshop on Computational Diffusion MRI (CDMRI '12), October 5, 2012, Nice, France|
|Abbreviated title||CDMRI '12|
|Period||5/10/12 → 5/10/12|
|Other||Workshop held in conjunction with the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2012)|
Balmashnova, E., Fuster, A., & Florack, L. M. J. (2012). Decomposition of higher-order homogeneous tensors and applications to HARDI. In E. Panagiotaki, L. O'Donnell, T. Schultz, & G. H. Zhang (Eds.), Proceedings of the MICCAI 2012 Workshop on Computational Diffusion MRI (CDMRI'12, Nice, France, October 5, 2012) (pp. 79-89). London: UCL Centre for Medical Image Computing.