Pancreatic ductal adenocarcinoma (PDAC) is one of the most common forms of lethal human cancers with poor prognosis. Diagnosis is made usually late in tumor development. There is a dire need to develop sensitive non-invasive biomarkers to diagnose and monitor tumor progression and its associated pathological features. We propose to use multi-parametric MRI (mpMRI) to monitor tumor progression in a genetically engineered KPC mouse model that recapitulates human PDAC. Using mpMRI, we demonstrate that there is a significant correlation between increase in pancreatic tumor volume, Magnetization transfer ratio (MTR), apparent diffusion coefficient (ADC), and chemical exchange saturation transfer (CEST) imaging.