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 system and method for registration of preoperative image data of a patient with less high-quality intra-operative image data relative to the data. Predetermined anatomical landmarks and/or an anatomical variant are identified in the image data by machine-learning facilities. At least one of the machine-learning facilities is trained patient-specifically and/or specifically for an anatomical variant of the patient to be examined. The registration is then carried out with the aid of the landmarks identified.

Abstract: An object of this disclosure is to allow dose-specific alteration of the noise suppression in X-ray images, wherein the image quality may change only below the threshold of perceptibility. To achieve this, a method is provided for adjusting a parameter for noise suppression in X-ray imaging, in which quality functions are determined in relation to a variation of a noise suppression parameter. Maximum values of the variation are set for each quality function based on a threshold value. The variability of the noise suppression parameter may be limited according to the X-ray dose up to the set maximum value.

Abstract: A medical imaging system includes a medical imaging device to map a mapping region inside an examination object, the medical imaging device being designed such that a location of the mapping region is changable in respect of the examination object; and a processing device, including a data interface, to robotically position a medical object inside the examination object, via a movement device. In an embodiment, the processing device is configured to determine an instantaneous position of the medical object; specify a target position for the medical object, the target position being defined relative to the mapping region; determine one or more control signals, configured to cause a movement of the medical object via the movement device from the instantaneous position to the target position; and provide the one or more control signals, via the data interface, to the movement device.

Abstract: A method for noise reduction in a low-dose X-ray image includes preprocessing for determining input data, at least one trained function for determining noise-reduced output data from the input data, and postprocessing for determining a result image from the output data. At least one result parameter specifying at least one desired result attribute of the result image is received or determined. The at least one result attribute is obtained by modifying the preprocessing to set a noise value of at least one first noise parameter. The noise value is determined from the result parameter. The noise value may be selected to differ from a reference value of the first noise parameter. Alternatively or additionally, the at least one result attribute is obtained by setting, according to the result parameter, the at least one trained function to one of a plurality of predefined noise values of at least one second noise parameter.

Abstract: A system for monitoring a physiological state of an object under examination in remotely controlled procedures includes a remote control unit for remote control of a remote manipulation unit, the remote manipulation unit for performing a procedure step, a capture unit for capturing state data of the object under examination, and a provider unit for classifying the state of the object under examination. When an expected state is present, the remote manipulation unit performs the procedure step. When a deviating state is present, the provider unit provides a remote signal to the remote control unit and a local signal to the output unit, the output unit outputs to local operating personnel a first workflow notice, and the remote control unit adjusts the remote control of the remote manipulation unit, outputs a second workflow notice to the remote operating personnel, and/or provides an alternative remote control signal.

Abstract: A method for monitoring remote control suitability includes capturing an instantaneous suitability parameter of a member of remote operating staff. The member of remote operating staff is equipped to remotely control a medical device by a remote control unit. The remote control unit is configured to provide a control signal to the medical device. The suitability parameter is provided by the remote control unit and/or a sensor unit for capturing the member of remote operating staff. The method includes identifying, based on the suitability parameter, whether a reduction in the suitability of the member of remote operating staff exists. In the case of affirmation, the medical device is provided with an alternative control signal, and in the case of negation, the medical device is provided with the control signal.

Abstract: A method for providing a procedural signal includes receiving an item of procedural information including an item of information about at least one procedural step that has been carried out on an object under examination before the beginning of the method, and an item of information about at least one planned procedural step. A physiological patient parameter is received from the object, which has been acquired via a sensor unit during and/or subsequent to the procedural step that has been carried out. The method includes identifying, based on the patient parameter and/or a change in the patient parameter whether the at least one procedural step has been tolerated by the object under examination. A procedural signal is provided that, in the negative, includes an item of information for adapting the at least one planned procedural step based on the procedural information and, in the affirmative, includes approval of the at least one planned procedural step.

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.