Abstract: A method for operating an x-ray device includes: recording a series of x-ray images of a recording area, (e.g., for monitoring the recording area); and determining a series of output images to be output from the x-ray images. When the x-ray images are recorded, there is a repeated change between at least two sets of recording parameters that leads to the different representation of at least two different objects of the recording area in the x-ray images. Further, the output images are determined in each case at least from one set of x-ray images that includes x-ray images recorded with at least two of the at least two sets of recording parameters.

Abstract: A method for representing at least one medical instrument in a hollow organ is disclosed. In the method, instrument parameters relating to mechanical properties of the at least one medical instrument are obtained, hollow organ parameters relating to mechanical properties of the hollow organ are obtained, a model of the at least one medical instrument in the hollow organ is generated dependent upon the obtained instrument parameters and the obtained hollow organ parameters, at least one image of the at least one medical instrument in the hollow organ is obtained, and a representation of the at least one medical instrument in the hollow organ is generated dependent upon the at least one obtained image and the generated model.

Abstract: In a computer-implemented method for material decomposition in dual-energy X-ray imaging, a first X-ray image dataset corresponding to a first X-ray energy spectrum, and a second X-ray image dataset corresponding to a second X-ray energy spectrum are obtained. At least one material-specific image dataset is generated by applying a decomposition module that contains a first sequence of processing steps or machine learning function to input data that depends on the first X-ray image dataset and the second X-ray image dataset. Before applying the decomposition module, a filter module and/or an artifact-reduction module is applied to the input data.

Abstract: In accordance with a method for dose estimation for the irradiation of an object, a model with a total number of spatial elements is provided on a memory element. For each spatial element, the model specifies a material composition of the object. A neighborhood material composition is determined for a neighborhood of spatial elements depending on the model by a computing unit. A radiation dose for the neighborhood with regard to an ionizing radiation is determined with aid of a simulation depending on the neighborhood material composition. A dose distribution for the object with regard to the ionizing radiation is determined based on the radiation dose for the neighborhood.

Abstract: For human-machine interaction for controlling and/or configuring a medical technology system, a user input for a central computer-implemented language model (CIS) that relates to a performance of a medical examination and/or intervention using the medical technology system is captured. Using the central CIS, a first prompt for a first CIS is generated as a function of the user input. Using the first CIS, first instructions for controlling and/or configuring a first medical technology apparatus of the medical technology system are generated as a function of the first prompt. As a function of the first instructions, the first apparatus is at least partially automatically controlled and/or configured, and/or as a function of the first instructions, user information for controlling and/or configuring the first apparatus are output.

Abstract: For assessing the effect of a medical instrument during a vascular intervention, a sequence of images of a vessel section and of a first medical instrument that is situated in the vessel section is obtained. A deformation of the vessel section is ascertained based on the sequence of images. First mechanical instrument properties of the first medical instrument are obtained, and mechanical vessel properties of the vessel section are determined based on the first mechanical instrument properties and the deformation. Second mechanical instrument properties of a second medical instrument are obtained. An expected deformation of the vessel section during a vascular intervention on the vessel section using the second medical instrument is assessed based on the second mechanical instrument properties and the vessel properties.

Abstract: A computer-implemented method for predetermining a location and/or a thickness of a slice, to be imaged of a patient during a tomosynthesis imaging to be parameterized by an imaging facility comprising the steps of obtaining three-dimensional image data of a preceding tomosynthesis imaging or of another three-dimensional imaging of the patient, wherein the three-dimensional image data depicts at least one part of an object located at least partly within the patient, evaluating the three-dimensional image data for establishing the location of a longitudinal axis of the object along which the part of the object extends, and establishing the location and/or the thickness of the slice to be imaged as a function of the established location of the longitudinal axis in such a way that the slice to be imaged images a predetermined target position within the patient and at least one longitudinal section of the object when the longitudinal axis of the object is located in the established location.

Abstract: A method for denoising a tomography recording with a plurality of projection images includes: selecting an action projection image to be denoised; selecting a plurality of reference projection images having recording angles that lie in a range of the recording angle of the action projection image and/or an opposite recording angle; adapting a binning of the reference projection images to the action projection image so that the reference projection images correspond to the projection geometry of the action projection image; and denoising the action projection image based on a noise of the reference projection images.

Abstract: The aim is to provide better assistance to operators of X-ray imaging apparatuses in the use of X-ray images. To this end, a method is provided for operating an X-ray imaging apparatus by inputting to the X-ray imaging apparatus an object value that relates to an object to be X-rayed, and configuring an X-ray parameter of the X-ray imaging apparatus. A confidence value regarding a quality of the X-ray image to be acquired or reconstructed is determined using a model based on the object value and the X-ray parameter. The confidence value is provided for an operator or for the control of the X-ray imaging apparatus.

Abstract: In order to estimate a radiation load quantity for an imaging system having a radiation source, a base model is obtained for determining the radiation load quantity depending on a set of input variables, which include at least one radiation-source operating parameter. Measurement data measured for the imaging system is obtained that includes the radiation load quantity for a multiplicity of different values of the at least one radiation-source operating parameter. A refined model is generated by adapting the base model depending on the measurement data. Actual values of the set of input variables are defined for the imaging system. The refined model is used to determine, depending on the actual values of the set of input variables, an estimated value of the radiation load quantity.

Abstract: A computer-implemented method for scattered radiation correction, comprises: receiving a plurality of projection images mapping an object; receiving or determining a virtual three-dimensional reference image mapping the object; determining at least one scattering model; subtracting the at least one scattering model from the projection images to determine corrected projection images; determining a corrected medical image as a function of the corrected projection images; comparing the corrected image with the virtual reference image; and checking whether an abort criteria is met. If the abort criteria is met, then the corrected medical image is provided. If the abort criteria is not met, then the at least one scattering model is adapted and the method is repeated based on the adapted scattering model.

Abstract: A method is provided for ascertaining material information pertaining to a material that is present in a region of interest of an examination subject, including an imaging x-ray device having an x-ray tube assembly, an x-ray detector, and a collimator for collimating an x-ray radiation field of the x-ray tube assembly. The method includes adjusting the collimator to acquire the region of interest only, acquiring a scattered radiation image in the collimator shadow on the x-ray detector, and evaluating the scattered radiation image in order to ascertain the material information.

Abstract: A computer-implemented method for scattered radiation correction, comprising the steps: obtaining projection images, optimizing a measure of quality by variation of correction parameters depending on the projection images, wherein a determination algorithm, which serves to determine the measure of quality, is an algorithm trained by machine learning and processes as its input data a reconstructed three-dimensional image dataset or processing data that is chosen from the image dataset, wherein the image dataset is based on corrected projection images, wherein a respective corrected projection image results from application of a correction algorithm, wherein the correction algorithm is parameterized by the correction parameters, provision of radiation scatter-corrected projection images and/or of a radiation scatter-corrected reconstructed three-dimensional image dataset.

Abstract: For monitoring a room with a medical technology apparatus, a light projection that defines an areal region in the room is generated with light of a predetermined wavelength characteristic. Using a large number of optical detectors that are each mounted in the areal region and are configured for detecting light having the wavelength characteristic, at least one detector signal is generated. Dependent upon the at least one detector signal, a coverage of at least a portion of the large number of optical detectors by an object is recognized. Dependent upon the recognized coverage, a safety and/or warning measure is initiated.

Abstract: To assess a risk of rupture of a hollow organ, at least one first image is obtained that maps a first expansion state of a balloon catheter disposed in the hollow organ. Based on the at least one first image, a balloon size and an internal balloon pressure of the balloon catheter in the first expansion state are determined. At least one second image is obtained that maps a second expansion state of the balloon catheter disposed in the hollow organ. Based on the at least one second image, the balloon size and the internal balloon pressure in the second expansion state are determined. Based on the internal balloon pressures in the first and second expansion states and the balloon sizes in the first and second expansion states, information is generated for assessing a risk of rupture of the hollow organ.

Abstract: A graphical display is adjusted. A dataset having a map and/or a model of a plurality of anatomical and/or medical objects of an object under examination is acquired. A graphical display of the dataset is visualized by a display. Based on a capturing signal, at least one of the plurality of anatomical and/or medical objects being viewed by a viewer of the graphical display is identified. The capturing signal is provided by a capturing unit embodied to capture a partial area of the graphical display currently being viewed by a viewer and to provide the capturing signal in dependence on the captured partial area. The graphical display of the at least one identified object is adjusted by adjusting a display parameter of the graphical display.

Abstract: A method for collision avoidance when positioning a medical imaging device and a patient positioning apparatus includes capturing a representation of an examination object, identifying an examination region based on representation, and identifying an initial acquisition trajectory around an initial isocenter, which enables a 3D reconstruction of the examination region. The imaging device and/or the patient positioning apparatus is positioned such that an isocenter of the medical imaging device coincides with the initial isocenter. A further acquisition trajectory is identified around one further isocenter, which enables a collision-free positioning of the imaging device and a 3D reconstruction of the examination region. The further isocenter specifies a permissible range for relative positionings of the imaging device and the patient positioning apparatus. The imaging device and/or the patient positioning apparatus is repositioned. Repositioning is limited to a permissible range of relative positionings.

Abstract: A computer-implemented method and system for providing a trained artificial intelligence determination algorithm for correcting x-ray image data with regard to noise effects, for example for scattered radiation correction of the x-ray image data. The determination algorithm, from input data comprising a recorded image dataset, determines a noise effect dataset describing the noise effects to be used for correction of the x-ray image dataset. A statistical physics model parameterized by model parameters is used to describe the noise effects. The model parameters are able to be determined at least in part using the determination algorithm including receiving of training datasets that include x-ray image sub datasets with assigned, known noise effect sub datasets and/or with at least one assigned, noise-free reference image sub dataset, training the determination algorithm using the training datasets, and providing the trained determination algorithm.

Abstract: In order to reduce a computing effort for correcting initial images from an imaging apparatus, a scatter model is used to simulate scattered-radiation images, and corresponding initial images are selected from the original initial images. These are used to train a neural network. The neural network may be used to calculate scattered-radiation single images that may be used to correct each individual initial image into a corrected initial image.

Abstract: A method for operating an X-ray facility for recording a three-dimensional (3D) image data set of a target area of a patient is provided. A recording arrangement including an X-ray detector and an X-ray source may be rotated about an axis of rotation for recording two-dimensional projection images based on the image data set. A model instance of a parameterizable patient model that is patient-specific and 3D is determined. Target area information describing the target area is determined in the model instance from default information. At least two at least partially different partial recording areas of the target area are determined from the target area information. The partial recording areas cover the target area along the axis of rotation. One projection image set is recorded for each of the partial recording areas, and the image data set is reconstructed from the projection image sets.