1. A method for generating a probability map, comprising: obtaining multiple measures of multiple imaging parameters for every stop of a moving window on an image, wherein two neighboring ones of said stops of said moving window are partially overlapped with each other; obtaining multiple first probabilities of an event for said stops of said moving window by matching said measures of said imaging parameters to a classifier; and obtaining multiple second probabilities of said event for multiple voxels of said probability map based on information associated with said first probabilities.