Title
Advanced texturing techniques for the effective visualization of neuroanatomy from Diffusion Tensor Imaging data
Abstract
Diffusion Tensor Imaging (DTI) is a relatively new imaging modality which can be used to gain in vivo information about the anatomy of the brain. This paper presents three new techniques for the visualization of DTI slice data: Barycentric colour maps allow an integrated view of different types of diffusion anisotropy. Ellipsoid-based textures and Anisotropy Modulated Line Integral Convolution create images which are segmented by tissue type and incorporate a texture representing the 3D orientation of nerve fibers. The effectiveness of the new visualization techniques is demonstrated by identifying various anatomical structures and properties from a diffusion tensor data set of a healthy brain.
Year
Venue
Keywords
2004
APBC
healthy brain,diffusion tensor imaging,diffusion tensor data,diffusion tensor imaging data,diffusion anisotropy,advanced texturing technique,dti slice data,anisotropy modulated line integral,effective visualization,barycentric colour map,new visualization technique,new imaging modality,new technique,line integral convolution,diffusion tensor
Field
DocType
Citations 
Computer vision,Ellipsoid,Diffusion MRI,Anisotropy,Diffusion Anisotropy,Visualization,Computer science,Artificial intelligence,Neuroanatomy,Tractography,Line integral convolution
Conference
1
PageRank 
References 
Authors
0.36
4
1
Name
Order
Citations
PageRank
Burkhard Wünsche114724.91