1. Decomposition of higher-order homogeneous tensors and applications to HARDI
- Author
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Balmashnova, E., Fuster, A., Florack, L.M.J., Panagiotaki, E., O'Donnell, L., Schultz, T., Zhang, G.H., Center for Analysis, Scientific Computing & Appl., Medical Image Analysis, Advanced School for Computing and Imaging, and Mathematical Image Analysis
- 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.
- Published
- 2012