Abstract: The invention relates to a medical data processing method of segmenting image features in medical images generated with different imaging modalities, wherein the image features represent a corresponding anatomical structure in each of the medical images, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (SI) first modality medical image data describing a first modality medical image containing a first modality image representation of the anatomical structure; b) acquiring (SI) second modality medical image data describing a second modality medical image containing a second modality image representation of the anatomical structure; c) determining, based on the first modality medical image data and the second modality medical image data, modality transformation data describing a mapping transformation between the image information in the first modality image data and the image information in the second modality image data; d) acquiring color value data de

Abstract: The invention relates to a medical data processing method of segmenting image features in medical images generated with different imaging modalities, wherein the image features represent a corresponding anatomical structure in each of the medical images, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (SI) first modality medical image data describing a first modality medical image containing a first modality image representation of the anatomical structure; b) acquiring (SI) second modality medical image data describing a second modality medical image containing a second modality image representation of the anatomical structure; c) determining, based on the first modality medical image data and the second modality medical image data, modality transformation data describing a mapping transformation between the image information in the first modality image data and the image information in the second modality image data; d) acquiring colour value data d

Abstract: A method for preparing the reconstruction of a damaged bone structure using an implant, comprising the following steps which are carried out by a computer (2): a) performing atlas segmentation on a structure dataset which represent the structure to be reconstructed, and determining healthy objects and defective objects within the damaged structure; b) determining a target structure by modelling replacements for the defective objects within the damaged structure; c) selecting an implant on the basis of the target structure, and providing a shape dataset which represents the shape of the implant; d) positioning the selected implant in order to find the optimum implant position; e) determining whether or not the selected implant is suitable, and returning to step c) if the implant is determined to not be suitable; and f) exporting the suitable implant to a medical navigation process.

Abstract: A method for preparing the reconstruction of a damaged bone structure using an implant, comprising the following steps which are carried out by a computer (2): a) performing atlas segmentation on a structure dataset which represent the structure to be reconstructed, and determining healthy objects and defective objects within the damaged structure; b) determining a target structure by modelling replacements for the defective objects within the damaged structure; c) selecting an implant on the basis of the target structure, and providing a shape dataset which represents the shape of the implant; d) positioning the selected implant in order to find the optimum implant position; e) determining whether or not the selected implant is suitable, and returning to step c) if the implant is determined to not be suitable; and f) exporting the suitable implant to a medical navigation process.