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Abstract #1779

PCA-multiFuse: Visualising multi-dimensional data in a single colorised image

Daniel Gallichan1
1School of Engineering, Cardiff University, Cardiff, United Kingdom

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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