Abstract: An apparatus including processing circuitry configured to: acquire a plurality of sets of medical imaging data of a region of a subject, each set of data corresponding to a respective different measurement period; apply a filter to the plurality of medical imaging data sets to produce a plurality of filtered medical imaging data sets corresponding to the different measurement periods, wherein the applying of the filter is such that, for each of the medical imaging data sets, the filtering uses at least some information from the other medical imaging data sets acquired at the different time periods and wherein the applying of the filter comprises applying at least one constraint or condition and the constraint or condition comprises preserving at least one measure of intensity for each medical imaging data set.

Abstract: An apparatus including processing circuitry configured to: acquire a plurality of sets of medical imaging data of a region of a subject, each set of data corresponding to a respective different measurement period; apply a filter to the plurality of medical imaging data sets to produce a plurality of filtered medical imaging data sets corresponding to the different measurement periods, wherein the applying of the filter is such that, for each of the medical imaging data sets, the filtering uses at least some information from the other medical imaging data sets acquired at the different time periods and wherein the applying of the filter comprises applying at least one constraint or condition and the constraint or condition comprises preserving at least one measure of intensity for each medical imaging data set.

Abstract: A system for filtering an input image dataset is disclosed. A plurality of sequences of input signal values, wherein each sequence corresponds to a different attribute, wherein an input signal value is associated with an attribute and a sampling point i. At least one processor 4 is configured to control computing an output signal value corresponding to a sampling point and an attribute. For a particular sampling point i and for each of a plurality of different attributes of the set of attributes, associating a weight to an input signal value based on a similarity between the signal value and for a plurality of the sampling points j excluding the sampling point i. Also the system computes a weighted sum based on the input signal values and weights. The attribute is a location or a frequency.

Abstract: A system for filtering an input image dataset is disclosed. A plurality of sequences of input signal values, wherein each sequence corresponds to a different attribute, wherein an input signal value is associated with an attribute and a sampling point i. At least one processor 4 is configured to control computing an output signal value corresponding to a sampling point and an attribute. For a particular sampling point i and for each of a plurality of different attributes of the set of attributes, associating a weight to an input signal value based on a similarity between the signal value and for a plurality of the sampling points j excluding the sampling point i. Also the system computes a weighted sum based on the input signal values and weights. The attribute is a location or a frequency.