Abstract: A computer-implemented method provides a requested medical data record to a receiving entity. The method includes receiving a set of medical data records and receiving or initiating a joint data index and, for each medical data record of the set, applying a plurality of hash functions to a patient identifier corresponding to the medical data record to determine a hash vector, the patient identifier corresponding to the medical data record identifying the patient being subject of the medical data record, and updating the joint data index based on the hash vector. Furthermore, it includes providing the joint data index to the receiving entity and receiving a request for a record, corresponding to a request patient identifier and being based on the joint data index, from the receiving entity. The method includes providing the requested medical data record to the receiving entity via a secure communication channel.

Abstract: In a method for synchronous magnetic resonance (MR) imaging and radiation therapy using a combined system having a radiation apparatus and an MR imaging apparatus, wherein the system is designed to record MR signals of a subject during irradiation of the subject, a three-dimensional MR volume data set of the subject is acquired that contains a target volume for the irradiation, the location of a central beam of the radiation therapy apparatus relative to the subject, is continuously determined, and a second MR image data set is determined, which is positioned essentially perpendicular to the central beam. If the location of the central beam changes, a correspondingly changed second MR image data set is determined perpendicular to the central beam.

Abstract: A method is for generating an X-ray image dataset via an X-ray detector having a converter element and a multiplicity of pixel elements. In an embodiment, the method includes first counting of at least one quantity of count signals dependent upon the incident X-ray radiation in each pixel element of the multiplicity of pixel elements; second counting of at least one quantity of coincidence count signals in each pixel element of the subset of pixel elements with at least one further pixel element of the multiplicity of pixel elements; and generating an X-ray image dataset based upon the at least one quantity of count signals counted in each pixel element of the multiplicity of pixel elements and upon the at least one quantity of coincidence count signals counted in each pixel element of the subset of pixel elements.

Abstract: The present disclosure is directed to enhancing a lumen display in a CT sectional image of a blood vessel. The CT sectional image may be displayed with a first window level. An average CT value of lumen sections near the heart may be obtained, and a highest CT value of a section of a current blood vessel may also be obtained. A window level may be determined based on the average CT value and the highest CT value. At least a part of the section of the current blood vessel may then be displayed with the window level. The techniques allow for a window level to be preset to enhance lumen display and to improve the consistency of delineating the lumen contour, thereby avoiding deviations caused by subjective selection while saving time and improving patient flow.

Abstract: A motion correction method may include: calculating a current motion-corrected MR image based on a current motion parameter of an imaging target and K-space measurement data of the imaging target; calculating current motion-corrected K-space data based on the current motion parameter of the imaging target and the current motion-corrected MR image; calculating a current K-space measurement data error based on the K-space measurement data of the imaging target and the current motion-corrected K-space data; and determining, based on the current K-space measurement data error, whether an iteration end condition is met. If so, using the current motion-corrected MR image as a final motion-corrected MR image to be used. Otherwise, updating the current motion parameter of the imaging target based on the current K-space measurement data error and the current motion-corrected MR image. The method advantageously provides an increased motion correction speed of an MR image.

Abstract: A method for correcting material-induced effects in CT images, comprising: providing a CT scan dataset including CT scan data of an object at at least two different energies; calculating a plurality of first material density values for a first substance type from the CT scan data of the CT scan dataset; calculating a plurality of correction factors based on the plurality of first material density values, wherein each correction factor is assigned to a second material density value for a second substance type; and calculating CT images from the plurality of first and second material density values, wherein at least one of the CT images is corrected via the plurality of correction factors.

Abstract: A method serves for MR-based reconstruction of images of a patient. Whether a value of a movement of the patient in at least one motion direction during an MR scan exceeds a respective threshold value is monitored. If this is not the case, an image reconstruction is performed by a Wave-CAIPI method on the basis of identical calibrated PSF subfunctions for all k-space lines. When this is the case, a number of bins are provided that correspond to sequential value ranges of the patient movement in at least one motion direction, the k-space lines are assigned to the bins based on a movement value determined during their respective acquisition, a calibration of PSF subfunctions is performed for at least two bins on the basis of the k-space lines assigned to said bins, and an image reconstruction is performed by a Wave-CAIPI method in such a way that the PSF subfunctions associated with the assigned bins are used for the respective k-space lines.

Abstract: The present disclosure relates to an imaging system for creating an image of an examination object comprising a system component and a control component. The system component has a component property that is able to assume a value in a first value range established by the imaging system. A corresponding system component of another imaging system comprises a corresponding component property with another value range with an overlap range with the first value range. The control component is embodied to control the use of the system component on the creation of the image, wherein the control component can be operated in a compatibility mode. In the compatibility mode, the control component is configured, on the creation of the image, to only allow values that lie within the overlap range for the component property of the system component.

Abstract: In a method for correcting chemical shift artifacts, CSA, a convolutional neural network (CNN) may be provided, which is trained using acquisition data acquired in phase and in opposed phase by a DIXON MR method that may include acquisition data that contains CSA in mutually opposite directions and acquisition data that contains CSA only in one direction. The CNN may be trained to transform acquisition data obtained by the fast DIXON MR method so the acquisition data acquired by the fast DIXON MR method exhibits CSA that arise only in the same direction. The method may further include acquiring fast DIXON MR acquisition data using respective control instructions and applying the trained CNN to the acquisition data to minimize or entirely remove the CSA and to calculate corrected acquisition data. The CSA may arise in the magnetic resonance DIXON method when using fast DIXON MR to capture the echoes.

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 of trajectory planning for a medical robot system is disclosed herein, wherein a pose of a first component of the robot system may be changed independently of a pose of a second component of the robot system. The method includes determining an initial status, wherein, for each degree of freedom, an initial value is measured. Based on the initial status, items of position information of at least two discrete reference points of the first component in respect of one another are determined as well as further items of position information of at least two discrete further reference points of the second component in respect of one another. Depending on the initial status, the items of position information and the further items of position information, a trajectory for the robot system is planned, which transfers the robot system from the initial status into a target status.

Abstract: An x-ray system includes an x-ray source which, when in operation, generates x-rays at a plurality of x-ray focal spots, with a collimator allocated in each case to each x-ray focal spot. The collimator selects x-rays generated in the respective x-ray focal spot and directed onto a common detector, collimators being in a fixed position in relation to the respective allocated x-ray focal spots. The x-ray source is embodied as an x-ray tube with at least one anode including the x-ray focal spots and with a plurality of cathodes. Or the x-ray source includes a plurality of x-ray tubes, the anodes whereof include the x-ray focal spots. The collimators are arranged in the respective x-ray tube, and the collimators are arranged on the respective anode. A method is further for operating such an x-ray system.

Abstract: A method for supplying a three-dimensional model of an object represented by volume data, comprises: supplying the volume data; supplying an image synthesis algorithm, the image synthesis algorithm being configured for visualizing the three-dimensional object by mapping the volume data onto visualization pixels of a two-dimensional visualization image; ascertaining a parameter set for actuating the image synthesis algorithm, the parameter set being suitable for generating, with the image synthesis algorithm, a set of a plurality of different visualization images based on the volume data set; generating the set of the plurality of different visualization images by mapping the volume data, with the image synthesis algorithm, using the parameter set; calculating the 3D model based on the set of the plurality of different visualization images; and supplying the 3D model.

Abstract: A computer-implemented method for assessing an image-generating procedure of magnetic resonance imaging, wherein in the image-generating procedure, an image recording procedure using at least one accelerating technique is combined with a reconstruction procedure comprising a reconstruction function trained using machine learning, wherein the method includes: establishing a spatially resolved image quality metric for a magnetic resonance image generated with the image-generating procedure; evaluating the image quality metric using at least one measure criterion with which at least one notification and/or adaptation measure is associated; and carrying out the at least one notification and/or adaptation measure for each fulfilled measure criterion.

Abstract: Techniques are described for classifying tissue based on magnetic resonance image data, comprising. These may include acquiring magnetic resonance image data of a tissue region, detecting the tissue region contained within the magnetic resonance image data, acquiring information on an electrical property of the tissue region, and classifying the tissue region based upon the information on the electrical property of the tissue region.

Abstract: A coil unit decoupling device and a magnetic resonance system. The device comprises a first phase shift circuit, a second phase shift circuit and a first crossover element, and the first crossover element is a capacitor or inductor, wherein a first connecting end of the first phase shift circuit is connected with a first port of a first coil unit, a second connecting end of the first phase shift circuit is connected with a first connecting end of the first crossover element, a first connecting end of the second phase shift circuit is connected with a first port of a second coil unit, a second connecting end of the second phase shift circuit is connected with a second connecting end of the first crossover element, and the first coil unit and the second coil unit are located in a magnetic resonance system.

Abstract: Determining parameter values in image points of an examination object in an MR system by an MRF technique. Comparison signal waveforms, established using predetermined recording parameters, and each assigned to predetermined values of the parameters to be determined, are loaded. An image point time series of the examination object is acquired with an MRF recording method such that the acquired image point time series are comparable with the loaded comparison signal waveforms. A signal comparison of a section of the respective signal waveform of the acquired one image point time series is carried out with a corresponding section of loaded comparison signal waveforms to establish similarity values. The values of the parameters to be determined on the basis of the most similar comparison signal waveforms determined are determined, and then stored or output.

Abstract: A peripheral device for a magnetic resonance tomography unit. The peripheral device includes a first sensor for receiving an electromagnetic data signal from the environment of the peripheral device. The peripheral device is configured to execute signal processing in dependence on the electromagnetic data signal and a frequency of the electromagnetic data signal is greater than a Larmor frequency of the magnetic resonance tomography unit.