A Phantom Study On Component Segregation for MR Images Using ICA

The results demonstrated ICA works as an image filter and provides new contrast images that unambiguously segregate components in MR images. For practical application, the best performance should be obtained when T1W, T2W, and proton density images are included in the dataset for ICA.