Abstract: One or more example embodiments relates to a method for estimating material thicknesses in radiological projection images, comprising the steps: providing a plurality of N projection images at different recording energies in each case, performing a first decomposition of the N projection images into N thickness maps, which in each case represent the thickness of N regions each with different materials, performing a second decomposition of a number of main thickness maps based on the N thickness maps and/or on corresponding measurements and a number of the N projection images into N result thickness maps, which in each case represent the thickness of the N regions each with different materials. One or more example embodiments further comprises an apparatus and an imaging device.

Abstract: The method for generating a resultant image comprises: defining curved slices between a compression plate and a detector, each curved slice having a shape that follows a curvature of the compression plate and/or detector or that represents a transition between the curvatures; reconstructing slice images that lie on the curved slices; generating the resultant image as a slice stack of the slice images; and outputting the resultant image.

Abstract: A method for post-processing radiographs from radiographic data including spectral recordings of a region of interest of an object, the method comprising: creating, from the radiographs, a first image in which a first material of the object is highlighted and a second material of the object is suppressed; creating, from the radiographs, a second image in which the second material is highlighted and the first material is suppressed; post-processing the images, wherein the first image is post-processed by a first filter module and the second image is post-processed by a second filter module; combining the post-processed images to form a single image depicting the first material and the second material; and outputting the single image.

Abstract: A computer-implemented method for operating an X-ray device during an imaging process on an examination object, comprises: ascertaining extension information from measurement data of at least one measuring device, the extension information describing extension of the examination object in at least one spatial direction; and parameterizing a reconstruction process based on the extension information; wherein an image dataset covering a reconstruction area is reconstructed in the reconstruction process from projection images of the examination object, which are captured in different projection geometries of an X-ray emitter relative to an X-ray detector of the X-ray device.

Abstract: A method for generating combined X-ray image data of an examination object comprises: receiving a radiographic X-ray projection data set, which was recorded from an examination object from a first position by a radiography X-ray system; receiving a tomosynthesis X-ray projection data set, which was recorded from the examination object from a second position, which differs from the first position, by way of a tomosynthesis imaging system; generating a 2D image data set in a perspective coordinate system adapted to the geometry of the radiography X-ray system based on the radiographic X-ray projection data set; and generating a three-dimensional tomosynthesis image data set in the perspective coordinate system adapted to the geometry of the radiography X-ray system based on the tomosynthesis X-ray projection data set.

Abstract: A method for AI-assisted generating an adapted medical image processing chain comprises receiving medical image data representing only a piece of information of a complete matching pair of medical image data related to a target flavor, wherein a missing piece of information of the complete matching pair is missing. The method also comprises generating an estimated medical image by applying a medical image processing chain to a raw projection medical image that is related to the received medical image data. Further, the method comprises determining a result of a comparison based on the estimated medical image and a target medical image which is also related to the received medical image data. The method furthermore comprises generating an adapted medical image processing chain by adapting the medical image processing chain based on the result of the comparison. The missing piece of information is generated based on the received medical image data.

Abstract: One or more example embodiments relates to a method for calibrating an X-ray emitter having a cathode, an anode and a coil, wherein the coil is connected to a conductor arrangement through which an electrical function current is guided through the coil. The method comprises measuring an induction current that is induced in the coil at the conductor arrangement of the coil; calculating a compensation current for an effecting coil of the X-ray emitter based on the measured induction current, the effecting coil configured to change an electron beam between the cathode and the anode, wherein the compensation current is calculated such that a magnetic field that induces the induction current during the measuring is compensated using a magnetic field that is produced by the compensation current in the effecting coil; and applying the compensation current in the effecting coil.

Abstract: A method for generating result slice images with at least partially different slice thickness based on a tomosynthesis image data set of a breast includes generating average value slices and maximum value slices (MIP) based on the tomosynthesis image data set, frequency dividing the average value slices into low-pass filtered and high-pass filtered average value slices, high-pass filtering of maximum value slices to form high-pass filtered maximum value slices, mixing high-pass filtered maximum value slices and high-pass filtered average value slices to form mixed high-pass filtered maximum value slices, combining the low-pass filtered average value slices with the mixed high-pass filtered maximum value slices to form the result slice images, and applying a moving maximum value across a selected thickness of maximum value slices or across a selected thickness of mixed high-pass filtered maximum value slices.

Abstract: Systems and methods for generating a synthetic image are provided. An input medical image in a first modality is received. A synthetic image in a second modality is generated from the input medical image. The synthetic image is upsampled to increase a resolution of the synthetic image. An output image is generated to simulate image processing of the upsampled synthetic image. The output image is output.

Abstract: A method is for generating a synthetic mammogram. In an embodiment, the method incudes acquisition of a plurality of projection data sets at a plurality of projection angles; and generation of at least one synthetic mammogram with an image property essentially equivalent to a conventional full-field digital mammography acquisition based on several projection data sets.

Abstract: A method is for acquiring an X-ray image of a region of interest of an examinee using an X-ray system and a displaceable patient table for positioning the examinee. In an embodiment, the method includes: selecting the region of interest; acquiring, section-by-section, successive image sections in relation to the region of interest, the acquiring, for each successive image section of the successive image sections, including moving the X-ray source and the X-ray detector along a common acquisition direction, moving the patient table counter to the common acquisition direction, determining a respective essentially strip-shaped detection area within the detection zone for a respective image section of the successive image sections, and detecting the respective image section by way of the determined detection area and the X-ray source, to acquire the respective image section; and generating a composite X-ray image of the region of interest from the respective successive image sections.

Abstract: A method comprises: applying a first trained function to first input data to generate first output data, the first output data including first key elements; receiving second input data, the second input data being an X-ray image of an examination region acquired using a first collimation region; applying a second trained function to the second input data to generate second output data, the second output data including second key elements; receiving third input data in response to an incomplete set of second key elements, the third input data including the second key elements and an X-ray image of the examination region acquired using the first collimation region; applying a third trained function to the third input data to generate third output data, the third output data including an estimated third key element to complete the set of second key elements; and providing a complete set of second key elements.

Abstract: A method includes recording a plurality of projection recordings along a linear trajectory. An X-ray source and an X-ray detector move in parallel opposite to one another along the linear trajectory and the examination object is arranged between the X-ray source and the X-ray detector. The method includes reconstructing a tomosynthesis dataset, respective depth information of the examination object is respective determined along an X-ray beam bundle spanned by the motion along the linear trajectory and an X-ray beam fan of the X-ray source perpendicular to the linear trajectory so that different respective depth levels in the object parallel to a detection surface of the X-ray detector are respectively scanned differently. Finally, the method includes determining a first slice image with a first slice thickness in a depth level, among the respective depth levels, substantially parallel to the detection surface of the X-ray detector based on the tomosynthesis dataset.

Abstract: One or more example embodiments relates to a computer-implemented method for providing key elements of the examination region in an X-ray image.

Abstract: A method for controlling an FFS X-ray system comprises: simulating a beam geometry of the X-ray beam at a specified FFS deflection onto the detector during recording of a projection image; determining whether cross-radiation is present in a region around the detector by the simulated beam geometry of the X-ray beam; generating FFS control data for the recording of the projection image, wherein the FFS control data either (i) causes FFS deflection that is reduced relative to the specified FFS deflection for the recording of the projection image in the event of the cross-radiation being present for the recording of the projection image or (ii) causes the specified FFS deflection otherwise; repeating the simulating, the determining and the generating FFS control data for at least one further recording of a projection image; and generating a control data set including the FFS control data, for controlling an FFS X-ray system.

Abstract: A method is for making an X-ray recording of an examination region of an examination object with an X-ray system including an X-ray source arranged on an emitter displacement unit and an X-ray detector including a detection area, arranged on a detector displacement unit. The method includes selecting the examination region and portion-wise recording successive recording portions in relation to the examination region. The portion-wise recording includes moving the X-ray source and the X-ray detector, determining a strip-shaped detection region within the detection area, by expanding an extent of the X-ray recording compared with a further different X-ray recording, and acquiring and recording each respective successive recording portion, of the successive recording portions, using the determined detection region and the X-ray source. Finally, the method includes generating an assembled X-ray recording of the examination region from the successive recording portions recorded.

Abstract: One or more example embodiments relates to a method for calibrating an X-ray emitter having a cathode, an anode and a coil, wherein the coil is connected to a conductor arrangement through which an electrical function current is guided through the coil. The method comprises measuring an induction current that is induced in the coil at the conductor arrangement of the coil; calculating a compensation current for an effecting coil of the X-ray emitter based on the measured induction current, the effecting coil configured to change an electron beam between the cathode and the anode, wherein the compensation current is calculated such that a magnetic field that induces the induction current during the measuring is compensated using a magnetic field that is produced by the compensation current in the effecting coil; and applying the compensation current in the effecting coil.

Abstract: In a method, comparison features are extracted from labeled reference image data. Features are also extracted from the image data. A statistical comparison of the comparison features with the features then takes place. On the basis of the statistical comparison and a quality criterion, the quality of the AI-based result data is determined. A method for correcting result data is additionally described. Furthermore, a method for AI-based acquisition of result data on the basis of measured examination data is described. Also described is a validation entity. An entity for correcting result data is additionally described. Furthermore, an entity for acquiring result data is described. Also described is a medical imaging entity.

Abstract: One or more example embodiments of the present invention relates to a computer-implemented method for providing an outline of a lesion in digital breast tomosynthesis includes receiving input data, wherein the input data comprises a reconstructed tomosynthesis volume dataset based on projection recordings, a virtual target marker within a lesion being in the tomosynthesis volume dataset; applying a trained function to at least a part of the tomosynthesis volume dataset to establish an outline enclosing the lesion, the part of the tomosynthesis volume dataset corresponding to a region surrounding the virtual target marker in the tomosynthesis volume dataset; and providing output data, wherein the output data is an outline of a two-dimensional area or a three-dimensional volume surrounding the target marker.

Abstract: Systems and methods for generating a synthetic image are provided. An input medical image in a first modality is received. A synthetic image in a second modality is generated from the input medical image. The synthetic image is upsampled to increase a resolution of the synthetic image. An output image is generated to simulate image processing of the upsampled synthetic image. The output image is output.