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.

Abstract: A method and a system are for image noise reduction. In an embodiment, the method includes producing a recorded image; establishing an amount of noise of the recorded image; decomposing the amount of noise into a number of N frequency-dependent noise components for N frequency bands, the number of N frequency-dependent noise components including respective data points respectively reproducing noise, of the amount of noise in the recorded image, for the respective frequency bands of the N frequency bands; examining the number of N frequency-dependent noise components for outlier data points, where an intensity lies outside a range of values, and forming moderated noise components by moderation of values of the outlier data points established in the examining of the number of N frequency-dependent noise components; and subtracting the moderated noise components from the recorded image.

Abstract: A method and image generating unit are for capturing at least two tomosynthesis images of an object undergoing examination offset by an angle of examination. In an embodiment the method includes a first and second capture of a plurality of first projection images along the linear trajectory, via X-ray source and the X-ray detector capturing the object undergoing examination in a first plane of capture and in a second capture plane different from the first capture plane, the first and second capture planes forming the angle of examination; determination of a first slice image dataset based upon the first projection images and of a second slice image dataset based upon the second projection images; and registration of the first slice image dataset and the second slice image dataset.

Abstract: A method and a system are for image noise reduction. In an embodiment, the method includes producing a recorded image; establishing an amount of noise of the recorded image; decomposing the amount of noise into a number of N frequency-dependent noise components for N frequency bands, the number of N frequency-dependent noise components including respective data points respectively reproducing noise, of the amount of noise in the recorded image, for the respective frequency bands of the N frequency bands; examining the number of N frequency-dependent noise components for outlier data points, where an intensity lies outside a range of values, and forming moderated noise components by moderation of values of the outlier data points established in the examining of the number of N frequency-dependent noise components; and subtracting the moderated noise components from the recorded image.

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: A method is for reconstructing an image from recording data. In an embodiment, the method includes providing or measuring recording parameters with which the recording data was created; generating a preprocessing filter for the recording data based on the recording parameters; prefiltering the recording data with the preprocessing filter, to create prefiltered recording data; and reconstructing the image from the prefiltered recording data. A prefilter-generating unit, an apparatus corresponding to the method, a control facility and an image-taking system are also disclosed.

Abstract: An embodiment is for determining a region of interest to be rendered in an ultrasound volume data set of an interior of an object under examination. In an embodiment, the method includes: determining a projection position in a two dimensional X-ray projection image of the object under examination, wherein a projection ray correlated to the projection position passes through the region of interest; and extracting a partial data set encompassed by the ultrasound volume data set using the projection position determined and based upon geometrical information relating to the X-ray 3D ultrasound unit.

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.