Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient s

Abstract: 1. A medical data processing method of determining information describing the probable position of a neural fibre in a patient's brain, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring patient-specific medical image data describing the brain of the patient; b) acquiring atlas data defining an image-based model of a human brain; c) determining, based on the patient-specific medical image data and the atlas data, seed region data describing seed regions (A, B) in the patient-specific medical image data in which the ends of neural fibres of the patient's brain may be located; d) determining, based on the patient-specific medical image data and the seed region data, neural fibre tract data describing a plurality of potential tracts (T1, T2, T3) which a specific neural fibre may take through the patient's brain; e) determining, based on the atlas data and the neural fibre tract data, a figure of merit for each one of the potential tracts (T1, T2, T3).

Abstract: The invention relates to a computer-implemented medical data processing method for determining a mapping of medical image content into a reference system, the method comprising executing, on a processor of a computer, steps of: a) acquiring, at the processor, medical image data describing a digital medical image of an anatomical structure of a patient's body; b) acquiring, at the processor, image attribute data describing attribute information associated with the medical image data, the attribute information including an indication of an initial reference system in which spatial relationships of the digital medical image are defined; c) acquiring, at the processor, reference system transformation data describing a spatial relationship (REG) between the initial reference system and a second reference system which is different from the initial reference system; d) determining, by the processor and based on the medical image data and the reference system transformation data, transformed image data describing a r

Abstract: A medical data processing method of determining a virtual image (2) of a part of a patient's body (4), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) patient image data describing at least two two-dimensional patient images (1) of anatomical body parts (3) of the patient's body (4); b) acquiring (S2) atlas data describing a general structure (5) of at least part of the patient's body comprising correspondence parts corresponding to the anatomical body parts (3); c) acquiring correspondence part position data describing the positions of the correspondence parts in the general structure (5); determining (S4.1, S4.2, S4.3), based on the patient image data and the atlas data and the correspondence part position data, virtual image data describing a two-dimensional virtual image (2) of a part (21, 22) of the general structure (5) having a position in the general structure (5) which lies between the positions of the correspondence parts.

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.

Abstract: The present invention relates to a method for positioning a patient's body part including a target to be irradiated relative to an irradiation source of a radiation imaging device, that generates a radiation beam directed towards the target, the method being constituted to be executed by a processor of a computer and comprising the following steps: receiving, at the processor, geometry data describing the geometry of at least one structure located in the field of view of the radiation imaging device; receiving, at the processor, tracking data describing the spatial position of the at least one structure within the field of view of the radiation imaging device; determining, with the processor, position data incorporating the geometry data and the tracking data, describing whether a position of the at least one structure lies within a radiation beam trajectory through the target; determining, with the processor, repositioning data describing a position of the at least one structure away from the radiation beam

Abstract: The present invention relates to a guiding tube for placing medical implants within body tissue, comprising an elongated, dimensionally stable tubular body encompassing an inner channel adapted to receive a medical implant, wherein the tubular body comprises at least one electromagnetic element, which is configured to exert an electromagnetic force on at least one magnetic element of the medical implant inserted into the inner channel. The present invention further relates to a corresponding medical implant for being placed within body tissue, particularly a stimulation lead, specifically a deep brain stimulation lead comprising at least one directional electrode, having an elongated body portion that is adapted to be inserted into an inner channel enclosed by a tubular body of a guiding tube, wherein at least one magnetic element provided on or in the body portion.

Abstract: A data processing method performed by a computer (2) for determining the structure of a medical implant (12; 18; 20; 22) which is to replace removed tissue in a patient's body, comprising the steps of:—acquiring a 3D dataset which represents remaining tissue (10; 17) which at least partly surrounded the removed tissue before the latter was removed;—determining the required contour of the implant (12; 18; 20; 22) from the 3D dataset;—simulating forces exerted by the remaining tissue (10; 17) on the contour of the implant (12; 18; 20;22); and—determining a structure dataset which represents the structure of the implant (12; 18; 20; 22) such that the implant (12; 18; 20; 22) has the required contour and can absorb the simulated forces.

Abstract: The invention relates to a medical data processing method for determining a vulnerability field of a brain of a patient, the steps of the method being constituted to be executed by a computer and comprising: a) acquiring a nerve-indicating dataset comprising information about the brain of the patient suitable for identifying neural fibers in the brain of the patient; b) determining nodes within the brain preferably being neuron-rich grey matter parts of the brain; c) determining the axonal linkage of the nodes based on the nerve-indicating dataset to obtain edges connecting the nodes, the nodes and edges constituting a connectivity graph; d) determining a weight for each of the edges depending on centrality graph theoretical statistical measure of the respective edge in the connectivity graph; e) determining, for each of the edges, which voxels in a dataset of the brain of the patient belong to the edges or are passed by the edges and assigning or adding the determined weight of the respective edges to all of

Abstract: The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.

Abstract: Disclosed is a computer-implemented method for determining a coverage of a target anatomical structure by an electric stimulation field, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring patient image data describing a medical image of the anatomical body part of a patient, wherein the anatomical body part includes the target anatomical structure b) acquiring atlas data describing a model of the anatomical body part and information about the position of a model target structure in the model of the anatomical body part, the model target structure corresponding to the target anatomical structure; c) determining, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient; d) acquiring, electrode position data describing a relative position between a position of an electrode and a position of the anatomical bod

Abstract: The present invention relates to a medical data processing method of transforming a representation of an anatomical structure of a patient in a first imaging modality into a representation of the anatomical structure in a second, other imaging modality, the method being constituted to be executed by a computer and comprising the following steps: acquiring first modality image data describing the first modality medical image containing the representation of the anatomical structure in the first imaging modality; acquiring atlas data describing a first modality atlas image describing a general structure of the anatomical structure in the first imaging modality, the atlas data containing information about the representation of the general structure in the second imaging modality; determining, based on the first modality image data and the atlas data, a first matching transformation between the first modality medical image and the first modality atlas image; determining, based on the first matching transformation

Abstract: The present invention relates to a medical data processing method of determining an outcome quality of a medical procedure, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) pre-completion medical image data describing an anatomical structure of a patient's body in a state before the medical procedure has been completed on the anatomical structure, the anatomical structure being subject to the medical procedure; b) acquiring (S1) pre-completion non-image medical data describing a state and medical history of the patient before the medical procedure has been completed on the anatomical structure; c) acquiring (S2) medical procedure planning data describing a plan for execution of the medical procedure to be carried out on the anatomical structure; d) determining (S2), based on the pre-completion medical image data and the medical procedure planning data, procedure application describing an application of the medical procedure planning data to the pr

Abstract: A medical data processing method for supporting determination of medical image data describing a spatial distribution of body tissue which is the subject of a medical procedure, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring outcome atlas data describing a general probability that a specific anatomical structure can be treated successfully by means of the medical procedure, the general probability having been determined based on a statistical analysis of medical image data and/or treatment effect simulations conducted on said medical image data generated from a general population of human bodies; b) acquiring general population data describing at least one statistical feature of each member of the general population; c) acquiring patient definition data describing at least one statistical feature of a patient who shall become the subject of the medical procedure; d) determining, based on the outcome atlas data and the general population data and the

Abstract: The invention relates to a medical data processing method for determining a vulnerability field of a brain of a patient, the steps of the method being constituted to be executed by a computer and comprising: a) acquiring a nerve-indicating dataset comprising information about the brain of the patient suitable for identifying neural fibres in the brain of the patient; b) determining nodes within the brain preferably being neuron-rich grey matter parts of the brain; c) determining the axonal linkage of the nodes based on the nerve-indicating dataset to obtain edges connecting the nodes, the nodes and edges constituting a connectivity graph; d) determining a weight for each of the edges depending on centrality graph theoretical statistical measure of the respective edge in the connectivity graph; e) determining, for each of the edges, which voxels in a dataset of the brain of the patient belong to the edges or are passed by the edges and assigning or adding the determined weight of the respective edges to all of

Abstract: A medical data processing method of determining a virtual image (2) of a part of a patient's body (4), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) patient image data describing at least two two-dimensional patient images (1) of anatomical body parts (3) of the patient's body (4); b) acquiring (S2) atlas data describing a general structure (5) of at least part of the patient's body comprising correspondence parts corresponding to the anatomical body parts (3); c) acquiring correspondence part position data describing the positions of the correspondence parts in the general structure (5); determining (S4.1, S4.2, S4.3), based on the patient image data and the atlas data and the correspondence part position data, virtual image data describing a two-dimensional virtual image (2) of a part (21, 22) of the general structure (5) having a position in the general structure (5) which lies between the positions of the correspondence parts.

Abstract: A medical data processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the method being constituted to be executed by a computer and comprising the following steps; acquiring patient image data describing a medical image representation of the anatomical structure in the medical image; determining, based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which matches the respective patient s

Abstract: The present invention relates to a medical data processing method for identifying an entity of the nervous system, in particular the brain, of a patient, wherein the method is designed to be executed by a computer and comprises the following steps: a) acquiring target connectivity data comprising target connectivity information about the probability of a target entity being connected to other entities of the nervous system; b) acquiring candidate connectivity data comprising candidate connectivity information about the probability of at least one candidate entity being connected to other entities of the nervous system; and c) determining similarity data for each of the at least one candidate entities on the basis of the candidate connectivity data and the target connectivity data, wherein the similarity data comprise similarity information about the similarity between the candidate entity and the target entity.

Abstract: The present invention relates to a medical data processing method of transforming a representation of an anatomical structure (1) of a patient in a first imaging modality into a representation of the anatomical structure (1?) in a second, other imaging modality, the method being constituted to be executed by a computer and comprising the following steps: a) acquiring (S1) first modality image data describing the first modality medical image containing the representation of the anatomical structure (1) in the first imaging modality; b) acquiring (S1) atlas data describing a first modality atlas image describing a general structure of the anatomical structure (1) in the first imaging modality, the atlas data containing information about the representation of the general structure in the second imaging modality; c) determining (S3), based on the first modality image data and the atlas data, a first matching transformation between the first modality medical image and the first modality atlas image; d) determining

Abstract: A data processing method for registering patient data containing normal patient data and specific object data to atlas data not containing this specific object data, the method comprising the following steps performed by a computer: a) acquiring the patient data which comprises anatomical information of the patient including normal patient data and the specific object data of the patient; b) segmenting the specific object data in the patient data; c) acquiring atlas data; d) acquiring meta-information about components of the atlas data; e) performing a fusion of the acquired patient data excluding the segmented specific object data and the atlas data to obtain registered atlas data; and f) simulating the growth of a simulated specific object within the registered atlas data using the registered atlas data and the meta-information about components of the atlas data being adjacent to the area of the specific object to obtain registered atlas data containing a simulated grown specific object.