SUMMARY
To gain high-dimensional data invisible to the human eye from radiological images with the "radiomics" approach and use these as quantitative imaging biomarkers appears promising. A recent phantom study proposed preprocessing radiological images into parametric feature maps to reduce the confounding effects of different VOI sizes. Parametric feature maps can be created with a pretested software tool that computes the whole image stack into a feature map stack. The resulting feature quantities are stored in the maps, where the gray levels reflect the quantity of the feature, e_g, regions in the maps with high quantities for . . .
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