Abstract:
A medical data processing method of determining anatomical structure subset data describing a subset of a graphical representation 9 of an anatomical structure of a patient's body to be displayed simultaneously with a medical image of an anatomical body part 1, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring predetermined anatomical structure representation data describing a graphical representation of the anatomical structure and its position in the patient's body; b) acquiring anatomical body part image data describing an image of an anatomical body part 1 of the patient imaged by an optical imaging apparatus 2 for display by a display apparatus 3; c) acquiring optical parameter data describing an optical parameter WD serving as a basis for displaying the anatomical body part image data; d) determining, based on the anatomical structure representation data and the anatomical body part image data and the optical parameter data, anatomical structure subset data describing a subset 9 of the anatomical structure representation data, which subset describes graphical representation of a structure subset of the anatomical structure to be displayed simultaneously with the image of the anatomical body part 1.
Abstract:
The disclosed method relates to an approach of monitoring validity of a patient registration, wherein a contour of a rigid anatomical structure is initially determined in three-dimensional space, and its spatial position is constantly checked afterwards so as to detect a possible spatial deviation of the contour which may indicate an invalidated patient registration.
Abstract:
The invention relates to a method for determining the spatial development of tumor tissue, by acquiring patient medical image data describing sequences of patient medical images of tumors in parts of patient bodies, wherein the patient medical images of each sequence have been taken at subsequent points in time and each sequence has been taken tier a different patient; determining, by additively fusing subsequent patient medical images of each sequence to one another, patient spatial development data describing the spatial development of a tumor in each patient body; acquiring atlas data describing an atlas representation of the parts of patient bodies; determining, based on the atlas data and the patient development data, development probability data describing a probability for a spatial development of a tumor.