A data-processing method (A1-A14) for analyzing a body-part of a patient, the data-processing method including the steps of: providing (A1) a sequence of a plurality of input images representing the body-part over a non-zero analysis period, each input image including a set of input values each one being indicative of a response to an interrogation signal of a corresponding location of the body-part at a corresponding acquisition instant included in the analysis period, associating (A2,A3,A4,A6) an analysis function of time with each one of a set of selected locations, the analysis function modeling a trend of the input values of the selected location in the sequence of input images, and providing (A2',A4',A5,A6') a reference function of time for the analysis functions, characterized by classifying (A7-A8) each selected location according to a polarity trend representing a trend over the analysis period of a polarity of a divergence between the analysis function of the selected location and the reference function, the selected location being classified into one of a plurality of predefined classes indicating that a characteristic of the analysis function of the selected location remains predominantly greater than, remains predominantly lower than, is substantially equal to and/or changes at least once among being predominantly greater and lower than said characteristic of the reference function over the analysis period, setting (A10) a parametric value for each selected location over the analysis period according to the corresponding class, and creating (A12-A13) a parametric image for the analysis period, the parametric image including the parametric value for each selected location. providing (A1) a sequence of a plurality of input images representing the body-part over a non-zero analysis period, each input image including a set of input values each one being indicative of a response to an interrogation signal of a corresponding location of the body-part at a corresponding acquisition instant included in the analysis period, associating (A2,A3,A4,A6) an analysis function of time with each one of a set of selected locations, the analysis function modeling a trend of the input values of the selected location in the sequence of input images, and providing (A2',A4',A5,A6') a reference function of time for the analysis functions, characterized by classifying (A7-A8) each selected location according to a polarity trend representing a trend over the analysis period of a polarity of a divergence between the analysis function of the selected location and the reference function, the selected location being classified into one of a plurality of predefined classes indicating that a characteristic of the analysis function of the selected location remains predominantly greater than, remains predominantly lower than, is substantially equal to and/or changes at least once among being predominantly greater and lower than said characteristic of the reference function over the analysis period, setting (A10) a parametric value for each selected location over the analysis period according to the corresponding class, and creating (A12-A13) a parametric image for the analysis period, the parametric image including the parametric value for each selected location. <EOS>