Abstract
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.
Original language | English |
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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 |
Pages | 79-89 |
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
Workshop | MICCAI 2012 Workshop on Computational Diffusion MRI (CDMRI '12), October 5, 2012, Nice, France |
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Abbreviated title | CDMRI '12 |
Country | France |
City | Nice |
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) |