Abstract: A method is provided for flow analysis in a target volume of a moving organ, which involves a sequence of first volumetric image data sets that include structural information and three-directional velocity information of the target volume and a sequence of second volumetric image data sets that include structural information of the target volume. The method involves tracking a feature of interest within the sequence of the second volumetric data sets, determining time varying spatial orientation of a plane containing the feature of interest in the sequence of the first volumetric image data sets by transferring the plane from the second volumetric image data sets to the first volumetric image data sets, reformatting the three-directional velocity information into one-directional velocity information on the plane, and performing bi-dimensional quantitative flow analysis using the one-directional velocity information. A corresponding apparatus and computer program are also disclosed and claimed.

Abstract: A method for performing flow analysis in a target volume of a moving organ from sequences of a first and a second magnetic resonance volumetric image data sets of such organ, which data sets are timely separated by a certain time interval, wherein the first volumetric image data sets comprise structural information and three-directional velocity information of the target volume and the second volumetric image data sets comprises structural information of the target volume, the method comprising the following steps: a) determining at least one feature of interest in at least one volume data set of the sequence of second volumetric image data sets; b) tracking the feature of interest within one or more volume data sets of the sequence of the second volumetric data sets; c) determining the spatial orientation over time of a plane containing the feature of interest in the sequence of the second volumetric data sets; d) determining the spatial orientation over time of the plane containing the feature of interes