A Reproducibility Study For Visual Mrsi Data Analytics

Magnetic Resonance Spectroscopy Imaging (MRSI) is a spectral imaging method that measures per voxel spectral information of chemical resonance, from which metabolite concentrations can be computed. In recent work, we proposed a system that uses coordinated views between image-space visualizations and visual representations of the spectral (or feature) space. Coordinated interaction allowed us to analyze all metabolite concentrations together instead of focusing only at single metabolites at a time [8]. In this paper, we want to relate our findings to different results reported in the literature. MRSI is particularly useful for tumor classification and measuring its infiltration of healthy tissue. We compare the metabolite compositions obtained in the various tissues of our data against the compositions reported by other brain tumor studies using a visual analytics approach. It visualizes the similarities in a plot obtained using dimensionality reduction methods. We test our data against various sources to test the reproducibility of the findings.