The dispersion imaging has shown great promise in prostate DCE-MRI, but there still exist practical limitations due to the complex model fitting. We describe a modified dispersion model to overcome these limitations by adapting a simple dispersion factor into the existing population-averaged arterial input function. We use the regions of interest, derived from the histological analysis, to evaluate both the quality of the model fitting and the ability of DCE-MRI parameters to delineate between cancerous and normal prostate tissues using 25 prostate patient cases available with the whole-mount histopathology.
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