Both genetic information and medical images have found extensive use in cancer patient diagnosis and treatment. Integrating the genomics and imaging information will provide valuable information, such as patient prognosis and disease prediction. Imaging features extraction will reveal hidden knowledge inside imaging and allow researchers to interpret tumor biology from various perspectives. We propose a brain tumor 3D localization and segmentation techniques, preliminary statistical analysis of the imaging phenotype and associated gene expression to unmask their correlation indicate that they have an internal association, which may potentially be useful for noninvasive medical research.