Abstract: Systems and methods for converting grayscale values in magnetic resonance images having different image contrasts into normalized estimations of physiological quantities are provided. These methods provide consistency of data from scan-to-scan, which allows the data to be used for high-fidelity radiogenomic analyses. Imaging-derived radiogenomic heat maps, based on trained models of quantitative radiogenomic associations, can be generated from, the normalized images and can provide a novel technique to survey the often varied genetic landscape within a tumor.