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Magnetic Resonance Spectroscopy Imaging (MRSI) is a medical imaging method that measures per voxel a spectrum of signal intensities. It allows for the analysis of chemical compositions within the scanned tissue, which is particularly useful for tumor classification and measuring its infiltration of healthy tissue. Common analysis approaches consider one metabolite concentration at a time to produce intensity maps in the image space, which does not consider all relevant information at hand. We propose a system that uses coordinated views between image-space visualizations and visual representations of the spectral (or feature) space. Coordinated interaction allows for analyzing both aspects and relating the analysis results back to the other for further investigations. We demonstrate how our system can be used to analyze brain tumors.

Coordinated Image- and Feature-space Visualization for Interactive Magnetic Resonance Spectroscopy Imaging Data Analysis