A novel approach for image colorisation is presented, intended for situations where multiple contrasts are available covering the same anatomy. A colormap is created in a PCA-based hybrid parameter space, allowing signals from all contrasts to contribute to the final image colorization. Examples are shown from a dataset of high grade glioma patients, enabling rapid visual comparison between subjects. Within-subject there is clear contrast between healthy and pathological tissue, while contrast between healthy GM/WM/CSF is preserved.
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