Heterogeneous Enhancement Pattern in DCE-MRI Reveals the Morphology of Normal Lymph Nodes: An Experimental Study

Figure 2

Principal component analysis (PCA) demonstrates that two principal components are sufficient to explain at least 90% of the variance in all the 15 nodes. Additional components negligibly increase variance explanation. The percentage of variance is reported in ordinate, and the component number (equal to the number of dynamic scans) is reported in abscissa. The whole range and a detailed range (in the inset) are shown.