Angiogenesis is one of the critical molecular events in pathogenesis of Glioblastoma. Radiogenomics, an emerging field links genotypes with MRI phenotypes. To find the imaging surrogate of angiogenesis, comprehensive radiogenomic analysis using multiparametric quantitative MRI phenotypes and large-scale gene-expression profiling in GBM was presented.Based on The Cancer Genome Atlas (TCGA), GBMs with EGFR overexpression were enrolled. Tumors with and without altered expression of target angiogenesis genes were further categorized. Qualitative and quantitative radiomics MRI phenotype data in these cases were created for analysis. Kaplan Meier survival statistics, MRI-angiogenesis module correlation analyses, and survival prediction with target MRI traits were performed to gain further insight into the radiogenomic signatures.Totally 52 patients were included in this study. Significant worse survival (p=0.03), higher degree of contrast enhancement (p=0.04), higher contrast-necrosis ratio (p=0.04), larger tumor volume and surface area (p=0.04) were noted in augmented angiogenic group. Significant correlation of disease survival with different imaging phenotypes (contrast enhancement, necrosis, multicentricity, tumor margin, subventricular zone invasion) is also proved. Prediction of disease survival longer than 12 months from imaging score was also achieved with 76.0 % accuracy.Construction of an MR imaging and mRNA radiogenomic association map has led to identification of MR traits that are associated with dysregulated angiogenesis in GBM. These imaging biomarkers can also serve as prognosis factors in our cohort. Our findings also have potential therapeutic significance since successful molecular inhibition of angiogenesis may improve therapy and patient survival in GBM.