A DCE based method for differentiation between active tumor tissue and radiation necrosis in patients with Glioblastoma is proposed. The study included 31 MRI scans of patients with Glioblastoma (6 patients with 4 longitudinal scans and 7 scans with biopsy results). The system is comprised of automatic, feature based discrimination of DCE dynamic data based on population analysis. Differentiation results show correlation to theoretical DCE models, and agreement with biopsy results in in the majority of cases. RANO based assessment of the differentiated results demonstrate potential for early detection of tumor progression.