Basic research for coloring multichannel MRI data
Shigeru Muraki, Toshiharu Nakai, Yasuyo Kita · IEEE Visualization · 2000
This is basic research for assigning color values to voxels of multichannel MRI volume data. The MRI volume data sets obtained under different scanning conditions are transformed into their components by independent component analysis (ICA), which enhances the physical characteristics of the tissue. The transfer functions for generating color values from independent components are obtained using a radial basis function network, a kind of neural net, by training the network with sample data chosen from the Visible Female data set. The resultant color volume data sets correspond well with the full-color cross-sections of the Visible Human data sets.