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: In an imaging method an image is generated by an imaging device that includes a vessel structure of an object to be imaged and/or a device arranged in the object. A local asymmetrical contrast amplification algorithm is applied to the image to generate a filtered image that is displayed by a display device.

Abstract: A vessel image, which maps a vessel structure, and a device image, which maps a device, are created. A processor, depending on the device image and the vessel image, creates an overlaying image. At least one filter algorithm is applied to the device image, creating a filtered device image. The overlaying image is created by overlaying of the vessel image with the filtered device image.

Abstract: A method is provided for operating a medical X-ray device when carrying out an X-ray examination. In order to reduce the duration of the scan for the reliable determination of changes over time in a body region of an examination subject by an X-ray based subtraction method, the method includes recording a plurality of first X-ray images of a body region of an examination subject, wherein the recording of the plurality of first X-ray images ensues at a constant X-ray imaging frequency and a constant X-ray dose for each X-ray image recording.

Abstract: Methods are provided for operating a medical X-ray device to improve the image quality of an X-ray examination. In one example, the method includes recording at least one first X-ray image of a body region as a mask image; providing a first subsequent image and recording a second X-ray image of the body region, wherein the second X-ray image represents the body region at a later recording time than the first subsequent image; determining a degree of deviation relating to a deviation between the first subsequent image and the second X-ray image; determining an averaging amount in dependence on the degree of deviation; generating a second subsequent image from the second X-ray image or from the first subsequent image together with the second X-ray image, wherein the averaging amount specifies the proportions in which the first subsequent image and the second X-ray image are mixed; and forming an overall image from the mask image and the second subsequent image.

Abstract: Embodiments provide a method for denoising time series images of a moved structure for a medical device. A movement detector detects the moved structure. The movement detector obtains a measurement of the similarity of two images that each represent the same section of the moved structure. The two images originate from two different time series images. A ratio between spatial and temporal denoising is defined for the section as a function of the measurement of the similarity.

Abstract: Operating a medical image recording device in the context of an image recording routine for a patient is provided. The image recording routine serves an image recording purpose. The image recording device is controlled based on operating parameters implemented by a controller of the image recording device. The operating parameters are identified completely automatically by an identification algorithm from input data describing at least the patient in the form of a patient model and/or the image recording purpose, and from a registration of the patient with a coordinates system of the image recording device. The operating parameters are used to control the image recording device. An examination region that is to be recorded for the patient and the image recording purpose are derived based on the registration.

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: A method for providing an output data set as a function of an input data set includes applying an algorithm for reducing image noise to the input data set or an intermediate data set determined as a function of the input data set to determine a noise-reduced signal data set. The method includes determining a noise data set as difference between the input data set or the intermediate data set and the signal data set. The method includes determining a modified noise data set by applying a noise-processing algorithm to the noise data set and/or determining a modified signal data set by applying a signal processing algorithm to the signal data set. The method includes determining an output data set by adding the modified noise data set to the signal data set or the modified signal data set, or adding the noise data set to the modified signal data set.

Abstract: A method for training a function of an X-ray system that has a positioning mechanism such as a C-arm, a detector, and, in a beam path in front of the detector, an anti-scatter grid. Positioning of the detector at a large number of different positions occurs. The positioning mechanism is deflected and/or distorted. Recording of at least one X-ray photograph in each of the positions then takes place, and the method further includes machine learning of artifacts generated by the anti-scatter grid from all X-ray photographs for the function.

Abstract: A method is provided for operating a medical X-ray device when carrying out an X-ray examination. In order to reduce the duration of the scan for the reliable determination of changes over time in a body region of an examination subject by an X-ray based subtraction method, the method includes recording a plurality of first X-ray images of a body region of an examination subject, wherein the recording of the plurality of first X-ray images ensues at a constant X-ray imaging frequency and a constant X-ray dose for each X-ray image recording.

Abstract: A method for training a function of an X-ray system that has a positioning mechanism such as a C-arm, a detector, and, in a beam path in front of the detector, an anti-scatter grid. Positioning of the detector at a large number of different positions occurs. The positioning mechanism is deflected and/or distorted. Recording of at least one X-ray photograph in each of the positions then takes place, and the method further includes machine learning of artifacts generated by the anti-scatter grid from all X-ray photographs for the function.

Abstract: Operating a medical image recording device in the context of an image recording routine for a patient is provided. The image recording routine serves an image recording purpose. The image recording device is controlled based on operating parameters implemented by a controller of the image recording device. The operating parameters are identified completely automatically by an identification algorithm from input data describing at least the patient in the form of a patient model and/or the image recording purpose, and from a registration of the patient with a coordinates system of the image recording device. The operating parameters are used to control the image recording device. An examination region that is to be recorded for the patient and the image recording purpose are derived based on the registration.

Abstract: Methods are provided for operating a medical X-ray device to improve the image quality of an X-ray examination. In one example, the method includes recording at least one first X-ray image of a body region as a mask image; providing a first subsequent image and recording a second X-ray image of the body region, wherein the second X-ray image represents the body region at a later recording time than the first subsequent image; determining a degree of deviation relating to a deviation between the first subsequent image and the second X-ray image; determining an averaging amount in dependence on the degree of deviation; generating a second subsequent image from the second X-ray image or from the first subsequent image together with the second X-ray image, wherein the averaging amount specifies the proportions in which the first subsequent image and the second X-ray image are mixed; and forming an overall image from the mask image and the second subsequent image.

Abstract: Embodiments provide a method for denoising time series images of a moved structure for a medical device. A movement detector detects the moved structure. The movement detector obtains a measurement of the similarity of two images that each represent the same section of the moved structure. The two images originate from two different time series images. A ratio between spatial and temporal denoising is defined for the section as a function of the measurement of the similarity.

Abstract: A method for reducing artifacts produced by x-ray radiation directly striking a measuring pixel of a CMOS detector after crossing a scintillator, wherein, for an x-ray image recorded using the CMOS detector, artifact image points are extracted by applying a local, edge-obtaining smoothing operator that evaluates image data of neighboring image points located in the vicinity of a considered image point and comparison with the image to which the smoothing operator was applied, and their image data is corrected.

Abstract: X-ray beam detectors in one model can individually differ from one another. This can lead to differences in the amount of noise in an image recorded with the aid of the respective X-ray beam detector. In the present case, a variable is derived using an empty image, which variable reproduces the amount of noise, and this variable then determines the type and extent of a filtering process. Hence the image processing is adapted to the respective individual noise behavior of the respective X-ray beam detector. This is particularly suitable if the X-ray beam detector is a flat-panel detector (100) with a scintillator (22) and photodetector elements (12).

Abstract: A method for reducing artifacts produced by x-ray radiation directly striking a measuring pixel of a CMOS detector after crossing a scintillator, wherein, for an x-ray image recorded using the CMOS detector, artifact image points are extracted by applying a local, edge-obtaining smoothing operator that evaluates image data of neighboring image points located in the vicinity of a considered image point and comparison with the image to which the smoothing operator was applied, and their image data is corrected.

Abstract: The invention relates to a method for presentation of medical images by a reproduction facility of a diagnostic device with suppression of the noise with the following steps: one-off calibration of the signal-dependent noise; separation of the signal and noise components in the image; adaptation of the two components according to set parameters; and composition of the signals.

Abstract: X-ray beam detectors in one model can individually differ from one another. This can lead to differences in the amount of noise in an image recorded with the aid of the respective X-ray beam detector. In the present case, a variable is derived using an empty image, which variable reproduces the amount of noise, and this variable then determines the type and extent of a filtering process. Hence the image processing is adapted to the respective individual noise behavior of the respective X-ray beam detector. This is particularly suitable if the X-ray beam detector is a flat-panel detector (100) with a scintillator (22) and photodetector elements (12).