Name
Abstract | ||
|---|---|---|
Diffusion tensor imaging (DTI) can provide the fundamental information required for viewing structural connectivity. However, robust and accurate acquisition and processing algorithms are needed to accurately map the nerve connectivity. In this paper, we present a novel algorithm for extracting and visualizing the fiber tracts in the CNS specifically, the spinal cord. The automatic fiber tract mapping problem will be solved in two phases, namely a data smoothing phase and a fiber tract mapping phase. In the former, smoothing is achieved via a weighted TV-norm minimization which strives to smooth while retaining all relevant detail. For the fiber tract mapping, a smooth 3D vector field indicating the dominant anisotropic direction at each spatial location is computed from the smoothed data. Visualization of the fiber tracts is achieved by adapting a known Computer Graphics technique called the line integral convolution, which has the advantage of being able to cope with singularities in the vector field and is a resolution independent way of visualizing the 3D vector field corresponding to the dominant eigen vectors of the diffusion tensor field. Examples are presented to depict the performance of the visualization scheme on three DT-MR data sets, one from a normal and another from an injured rat spinal cord and a third from a rat brain. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1007/3-540-45787-9_77 | MICCAI (2) |
Keywords | Field | DocType |
fiber tract mapping,fiber tract maps,diffusion tensor field,line integral convolution,fiber tract mapping phase,spinal cord,fiber tract,dominant eigen vector,dt-mr data set,automatic fiber tract mapping,diffusion tensor imaging,vector field,computer graphic,diffusion tensor,data visualization | Computer vision,Euclidean vector,Diffusion MRI,Visualization,Vector field,Computer science,Smoothing,Artificial intelligence,Computer graphics,Line integral convolution,Eigenvalues and eigenvectors | Conference |
ISBN | Citations | PageRank |
3-540-44225-1 | 4 | 0.44 |
References | Authors | |
10 | 6 | |