Patent ID: 9704243
Date: 2017-07-11
CPC Classifications: G06T,G16H

Claim:
1. A data processing method for determining a matching transformation for matching a set of one or more images of an anatomical body structure of an associated patient, referred to as a patient image set, and a set of one or more images of a general anatomical structure, referred to as an atlas image set, wherein the general anatomical structure comprises a plurality of anatomical elements referred to as atlas elements, and each patient image is associated with one of a plurality of different parameter sets, wherein the parameter sets comprise one or more parameters which obtain when the patient images are generated, and the parameters influence representations of anatomical elements in the patient images, the method being performed by a computer and comprising: acquiring atlas data, the acquiring the atlas data comprising sub-steps of: acquiring patient data, the acquiring the patient data comprising sub-steps of: determining, based on the atlas data and the patient data, the set of atlas images which respectively represent at least a part of the general anatomical structure by using the spatial information on the general anatomical structure and particular representation data sets which are determined by applying the determination rule in accordance with the one or more associated parameter sets and particular atlas elements acquired and referred to as corresponding elements, which are to be matched to corresponding anatomical elements represented in the patient image; and, determining the matching transformation which matches the atlas image set and the patient image set, by matching images associated with the same parameter set to each other, wherein the determination rule describes an assignment between the plurality of atlas elements and the plurality of representation data sets by describing a surjective assignment between the atlas elements and representation classes, wherein the respective representation classes respectively represent subsets of the plurality of representation data sets, and wherein for each of the respective representation classes, there is a unique set of characteristic bijective assignments between individual representation data sets of the subsets and individual parameter sets.