Grading of gliomas is of significant clinical importance since the prognosis as well as the treatment of choice are distinct in low-grade and high-grade gliomas. With standard MRI modalities, however, a reliable distinction is often impossible. Moreover, the gold standard for glioma grading by histopathology may also have limitations due to unrepresentative tumor samples. The advantage of MRI is the ability to ‘sample’ the entire lesion. Therefore, more advanced MRI techniques are urgently needed that would have higher sensitivity and specificity in the definition of tumor type, grade and extent. The aim of our study is to develop novel imaging protocols suitable for the MRI of glioma using advanced MRI techniques such as RAFF relaxation and DWI modeling. In addition, we want to study the correlation between advanced MRI parameters and histopathology of the tumor specimen.