Computer aided diagnosis (CADx) systems for magnetic resonance imaging of prostate have shown potential to increase accuracy for detection of cancerThe purpose of this study is to introduce a method for CADx to detect prostate cancer based on texture features extracted from a grid placed on diffusion weighted imaging (DWI) parametric maps