Compressed Sensing of Multiple Intra-Voxel Orientations with Traditional DTI
A. Landman, J. Bogovic, and J. L. Prince. “Compressed Sensing of Multiple Intra-Voxel Orientations with Traditional DTI”, In Proceedings of the Workshop on Computational Diffusion MRI at the 11th International Conference on Medical Image Computing and Computer Assisted Intervention, New York, NY, September 2008.
Diffusion tensor imaging (DTI) is widely used to characterize tissue microarchitecture and brain connectivity. However, traditional tensor techniques cannot represent multiple, independent intra-voxel orientations, so DTI suffers serious limitations in regions of crossing fibers. We present a new application of compressed sensing, Crossing Fiber Angular Resolution of Intra-voxel structure (CFARI), to resolve multiple tissue orientations. CFARI identifies a parsimonious tissue model on a strictly voxelwise basis using traditional DTI data. Reliable estimates of multiple intra-voxel orientations are demonstrated in simulations, and intra-voxel fiber orientations consistent with crossing fiber anatomy are revealed with typical in vivo DTI data.