Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/2945.942694 | IEEE Trans. Vis. Comput. Graph. |
Keywords | Field | DocType |
visible human female data,sample data,coloring multichannel mr imaging,independent component analysis,color value,volume data,assigning color value,mri volume data,resultant color volume data,visible human data set,independent component,magnetic resonance image,cross section,transfer function,indexing terms,radial basis function network,neural net | Voxel,Mr imaging,Computer vision,Radial basis function network,Data set,Computer science,Transfer function,Independent component analysis,Artificial intelligence,Artificial neural network,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
7 | 3 | 1077-2626 |
Citations | PageRank | References |
10 | 0.76 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shigeru Muraki | 1 | 347 | 31.10 |
| Toshiharu Nakai | 2 | 54 | 6.22 |
| Yasuyo Kita | 3 | 192 | 23.37 |
| Koji Tsuda | 4 | 1664 | 122.25 |