In addition to conventional MR parameters such as proton density and relaxation times T1 and T2, further specific parameters (magnetization transfer, apparent diffusion, temperature, blood oxygen level) have been observed by recent developments in Magnetic Resonance Imaging. When employing several approaches, such as indicator dilution theory or pharmacokinetic modeling, further valuable information can be derived from MR raw data sets. This additional information could give more insight into various clinical areas. It can be utilized to investigate hemodynamic perturbations and tumor- related pharmacokinetic features. Most of these techniques rely on a large amount of MR raw data. Hence, an efficient strategy for data organization and postprocessing and clear image data presentation is necessary for these techniques to be implemented as clinical routine work. A novel software concept has been developed to address all these issues. It is based on a more general framework of basic classes for data IO and manipulation, viewing and image processing. For a maximum of flexibility, the presented design separates data management and image presentation from dedicated MR analysis. It provides facilities for incorporation of user-defined routines and a comprehensive set of basic functions which enable rapid software prototyping.