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Stroke is among the most frequent cause of death around the world and the decision to treat and final outcome is highly dependent on the quality of diagnosis. Recently, cerebral perfusion tomography have been used with promising results in the stroke evaluation mainly because this technique gives further information about the hemodynamic changes within the stroke area. However many different parameters are actually used to analyze the CT perfusion results, trying to integrate the temporal information it contains. Some of these parameters are Blood Volume, Blood Flow or Transit Time for example. This paper reviews the most relevant methods used to calculate perfusion related parameters and describes our framework that defines a reproducible processing pipeline that supports visual and quantified comparison between them. [ABSTRACT FROM AUTHOR]