LAPACK's user's guide
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
Virtual voyage: interactive navigation in the human colon
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Coloring voxel-based objects for virtual endoscopy
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
A class of neural networks for independent component analysis
IEEE Transactions on Neural Networks
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
Grey-box radial basis function modelling
Neurocomputing
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This is an elementary research for assigning color values to voxels of multichannel Magnetic Resonance Imaging (MRI) volume data. The MRI volume data sets obtained under different scanning conditions are transformed to the components by independent component analysis (ICA), which enhances physical characteristics of the tissue. The transfer functions for generating color values from independent components are obtained using the radial basis function network, a kind of neural net, by training the network with sample data chosen from visible human female data set (VHF). The resultant color volume data sets correspond well with the full-color cross-sections of the visible human data sets.