Abstract: A method for actuating an X-ray device during robot-assisted navigation of at least two objects introduced into a body, such as a hollow organ, of a patient by at least one robotic system, includes providing a first selection criterion for selecting one of the objects, and providing a second selection criterion for selecting one of the objects. One of the at least two objects is selected based on the first selection criterion and the second selection criterion, and recording parameters of the X-ray device are automatically set, such that the selected object in an X-ray image to be recorded is highlighted compared to the at least one other object. The selected object may be highlighted with respect to image quality, image flavor, positioning on the X-ray image, and/or a collimator setting of a collimator of the X-ray device. An X-ray image is recorded with the set recording parameters.

Abstract: A system for imaging a robotically moved medical object has a movement device for robotic movement of the medical object, a medical imaging device, and a processing unit. The processing unit is configured to receive a data set that maps a vessel structure of an examination object and is registered with the medical imaging device, and to determine an object path along the vessel structure toward a target region in the data set. The movement device is configured to move the medical object along the object path and provide an object parameter relating to a movement state of the medical object. The processing unit is further configured to control a positioning of the medical imaging device relative to the examination object as a function of object parameter and object path such that a predefined section of the medical object is mapped in image data acquired by the medical imaging device.

Abstract: An intervention system and method for performing an intervention, for example a medical intervention, for example on a patient, at a first location, this being an intervention location. The intervention system includes at least one drivable intervention device at the first location to be used for the intervention, a first operating device provided at the first location for control of the at least one intervention device by a local group of people situated at the first location, a second operating device provided at a second location which is remote from the intervention location, for control of the at least one intervention device by a remote group of people situated at the second location, and an authorization device for authorizing the control of the at least one intervention device by the operating devices.

Abstract: At least one example embodiment relates to a computer-implemented method comprising receiving a plurality of medical images with a transmitting apparatus interface, determining a first base image, based on a first medical image, with a transmitting apparatus computing unit, transferring the first base image, determining a first change information item, based on the first medical image and a second medical image, with the transmitting apparatus computing unit, determining a first modified base image based on the first change information item and the first base image, checking at least one of the second medical image or the first modified base image, transferring the second medical image with the transmitting apparatus interface to the receiving apparatus interface based on the result of the checking.

Abstract: A computer-implemented method for providing a vascular image data record includes receiving a plurality of projection-X-ray images recorded in temporal succession. The plurality of projection-X-ray images at least partially map a common examination region of an examination object. The plurality of projection-X-ray images map a temporal change in the examination region of the examination object. A change image data record is determined in each case based on at least one region of interest of the plurality of projection-X-ray images. The at least one region of interest includes a plurality of image points. The change image data record in each case includes a time-intensity curve for each of the image points. The vascular image data record is generated based on the change image data record, and the vascular image data record is provided.

Abstract: A computer-implemented method is for coordinating a plurality of remote control units on performance of a plurality of prioritized working steps. The method includes receiving a first provisional sequence of the plurality of working steps, at least one remote control unit configured to perform the working step being assigned to at least one working step; receiving an item of information about a status of the at least one assigned remote control unit; prioritizing the plurality of working steps; determining a prioritized sequence of the plurality of working steps based upon the prioritization; providing the prioritized sequence of the plurality of working steps; providing a start signal for the assigned remote control unit for performing the at least one working step of the plurality of working steps. The start signal is here configured to initiate performance of the working step by the assigned remote control unit.

Abstract: For a particularly failsafe performance of telemedicine procedures a method is provided for the automatic allocation and display of responsibility in telemedicine procedures with at least one medical device, the procedures involving at least two members of medical staff and of which at least one first person being positioned in close proximity to the device (“locally”) and at least one second person being positioned remotely from the device, with the following steps: planning and/or retrieving an operational sequence of procedural steps for the performance of the telemedicine procedure, requesting or retrieving an information profile in each case for at least the first and second person, wherein the information profile for the performance of the procedure contains relevant information on the respective person, ascertaining a competency classification of the at least first and second person for each procedural step in the telemedicine procedure on the basis of the information profiles, and displaying an alloca

Abstract: The invention relates to a computer-implemented method for detecting a conflict between a local control means and a distantly disposed remote control means. The method comprises a method step of receiving a first signal from the local control means. The method comprises a further method step of receiving a second signal from the remote control means. The method comprises a further method step of checking whether a conflict is present based on the first and the second signal. If a conflict was detected during the check, the method comprises a method step of providing conflict information, wherein the conflict information comprises information that a conflict is present.

Abstract: A method for monitoring a medical intervention taking place in an operating room or examination room, or a medical examination on a patient by medical personnel includes acquiring sensor data from at least one acoustic sensor, of at least one individual among the medical personnel during the medical intervention or the medical examination. The sensor data is evaluated as regards recognition of stress and/or negative emotions of the at least one individual. When stress and/or negative emotions are recognized, at least one cause of the stress and/or of the negative emotions is determined using the sensor data and/or further optical, acoustic, haptic, digital, and/or other data acquired during the medical intervention or the medical examination. Measures are triggered to remediate the determined cause and/or to reduce the stress and/or the negative emotions of the at least one individual.

Abstract: A method for providing a specification include receiving a planning dataset, wherein the planning dataset has a pre-ascertained mapping and/or a model of an examination object. The method further includes capturing selection information relating to one or more available medical object(s) and determining the specification by applying a specification function to input data, wherein the input data is based on the planning dataset and the selection information, wherein the specification has suitability information and a desired path, wherein the desired path has a plurality of spatial and/or temporal control points, which control points specify desired positionings for the one available medical object or one of the plurality of available medical objects respectively, and wherein the suitability information assesses suitability of the at least one available medical object for the desired path. The method further includes providing the specification as output data of the specification function.

Abstract: Systems and method for providing misaligned image features. A method includes receiving a first and a second image data set, wherein the first and the second image data sets map at least partially a shared examination region of an examination object, registering the first image data set with the second image data set, determining a distance data set based on the registered first image data set and the second image data set, identifying the misaligned image features in the distance data set that are caused by a misalignment between the registered first and the second image data sets, and providing the identified misaligned image features.

Abstract: Some embodiments relate to solutions to providing a result image data set. At least one embodiment is based on an input image data set of a first examination volume being received. A result image parameter is received or determined. A result image data set of the first examination volume is determined by application of a trained generator function to input data. Input data is based on the input image data set and the result image parameter, and the result image parameter relates to a property of the result image data set. A parameter of the trained generator function is based on a GA algorithm (acronym for the English technical term “generative adversarial”). Finally, the result image data set is provided. Some embodiments relate to solutions for providing a trained generator function and/or a trained classifier function, in particular for use in solutions for providing a result image data set.

Abstract: A method for evaluating image data of a patient showing a target region to be treated with an embolizing agent includes providing a three-dimensional time-resolved image data set of a vascular system portion of the patient. A structural parameter that describes a geometry of at least the vascular system portion and/or a basic information item including dynamic parameters that describe hemodynamics in the vascular system portion is established from the image data set by an analysis algorithm. An embolization information item describing a plurality of embolizing agents that are to be used is provided. An actuation information item describing a suitable composition of the plurality of embolizing agents, for an intervention facility used for carrying out the treatment is established by an establishing algorithm that uses the basic information item and the embolization information item, and the actuation information item is provided to the intervention facility.

Abstract: A method for planning a remote-controlled navigation of medical objects in a hollow organ of a patient. The navigation is performable by robot or in a robot-supported manner using a robot system, and is visually monitored by an imaging system. The robot system includes a drive system, a robot control unit, and at least one input unit arranged at a distance from the robot control unit. At least one data transmission link is present. The method includes supplying data for a planned navigation procedure of an object through a hollow organ with at least one navigation step, evaluating, by an evaluation system, the supplied data in terms of a performability level of the navigation procedure. The evaluation is carried out based on a comparison with empirical data and/or based on a theoretical model, and/or using a learning-based algorithm. The method includes outputting an evaluation result to an output unit.

Abstract: A system and method for generating an actuation signal for a robotic system for robot-assisted navigation of a medical object with a curved tip in a hollow organ of a patient. An an X-ray system for image monitoring of the intervention is assigned to the robotic system.

Abstract: A method is for providing a resultant image dataset for a volume of interest. In an embodiment, an X-ray image dataset for the volume of interest is received, having a first noise level. A trained generator function is received, a parameter of which is based on a first and a second training image dataset for a training volume of interest. The first and the second training image dataset include a first training noise level. In addition, a resultant image dataset for the volume of interest is determined by applying the trained generator function to input data comprising the X-ray image dataset, the resultant image dataset has a second noise level less than the first noise level. In addition, the resultant image dataset is provided. As such, a higher noise level can be accepted and/or a lower X-ray dose can be used in the acquisition of the X-ray image dataset.

Abstract: A computer-implemented method is for providing a difference image data record. In an embodiment, the method includes a determination of a first real image data record of an examination volume in respect of a first X-ray energy, and a determination of a multi-energetic real image data record of the examination volume in respect of a first X-ray energy and a second X-ray energy, the second X-ray energy differing from the first X-ray energy. The method further includes the determination of the difference image data record of the examination volume by applying a trained function to input data, wherein the input data is based upon the first real image data record and the multi-energetic real image data record, as well as the provision of the difference image data record.

Abstract: At least one example embodiment relates to a computer-implemented method comprising receiving a plurality of medical images with a transmitting apparatus interface, determining a first base image, based on a first medical image, with a transmitting apparatus computing unit, transferring the first base image, determining a first change information item, based on the first medical image and a second medical image, with the transmitting apparatus computing unit, determining a first modified base image based on the first change information item and the first base image, checking at least one of the second medical image or the first modified base image, transferring the second medical image with the transmitting apparatus interface to the receiving apparatus interface based on the result of the checking.

Abstract: At least one example embodiment relates to a computer-implemented method for determining an imaging parameter value for the control of a medical technology device during a capture of a first image dataset. In this context, the first image dataset is provided to be transferred from the medical technology device to a remotely arranged device. The method comprises at least one of receiving or determining a transfer parameter value. In this context, the transfer parameter value comprises an information item concerning which image information is relevant for the first image dataset which is to be transferred. The method further comprises determining the imaging parameter value based on the transfer parameter value. The method further comprises providing the imaging parameter value.

Abstract: A computer-implemented method includes, in an embodiment, receiving first X-ray projections of an examination volume in respect of a first X-ray energy and second X-ray projections in respect of a second X-ray energy, the first and second X-ray energies differing. The method further includes determination of a multienergetic real image data record of the examination volume based upon the first and second X-ray projections; selection of first voxels of the multienergetic real image data record based upon the multienergetic real image data record; selection of second voxels of the multienergetic real image data record based upon the first X-ray projections and the second X-ray projections, the first voxels including the second voxels and the second voxels mapping contrast medium in the examination volume. The method further includes provision of a constraint image data record and/or a difference image data record based upon the second voxels.