Abstract: A method for operating an X-ray imaging system includes outputting first X-ray beams onto an X-ray detector by an X-ray source for acquisition of a first X-ray capture of an object under examination. The object under examination is arranged between the X-ray source and the X-ray detector and is passed through by the first X-ray beams. The X-ray detector acquires an entry dose of the first X-ray beams after passage through the object under examination. A parameter value of at least one parameter for output of second X-ray beams by the X-ray source for acquisition of a second X-ray capture of the object under examination is ascertained by a control system. The parameter value is ascertained by the control system according to a specified ascertainment method as a function of a foreground substance of a foreground object, a background substance of a background object, and the entry dose.

Abstract: A system and method for registration of preoperative image data of a patient with less high-quality intra-operative image data relative to the data. Predetermined anatomical landmarks and/or an anatomical variant are identified in the image data by machine-learning facilities. At least one of the machine-learning facilities is trained patient-specifically and/or specifically for an anatomical variant of the patient to be examined. The registration is then carried out with the aid of the landmarks identified.

Abstract: In an method for training artificial intelligence entities (AIE) for abnormality detection, medical imaging data of the human organ is provided as training data having training samples, the medical imaging data including imaging results from different types of imaging techniques for each training sample of the training data, a pre-trained or randomly initialized AIE is provided, and the AIE is trained using the provided training samples. The training may include, for at least one training sample, a first loss function for a sub-structure of the AIE is calculated independently of a first spatial region of the human organ, and, for a training sample, a second loss function for a sub-structure of the AIE is calculated independently of a second spatial region of the human organ. The AIE may be trained using the calculated first loss function and the calculated second loss function.

Abstract: A computer-implemented method for a medical imaging device is disclosed. In an embodiment, the computer-implemented method includes receiving at least one item of user information describing a desired visualization format of the image dataset; providing at least one item of request information; describing required input data of at least one evaluation algorithm to be used; determining at least one first processing dataset corresponding to the visualization format according to the user information and at least one second processing dataset usable as input data for the respective evaluation algorithm according to the request information; applying the at least one evaluation algorithm to the respective second processing dataset to determine evaluation information and outputting the first processing dataset and the evaluation information.

Abstract: A plurality of reception coils are used to acquire magnetic resonance signals using parallel imaging and a k-space acquisition scheme, in which alternatingly the central region and one of the peripheral k-space portions are imaged in acquisition steps of a pair, such that after a partition number of such pairs, the whole k-space to be acquired has been imaged and a sliding reconstruction window can be applied to reconstruct an additional magnetic resonance image after each acquisition of such a pair. A time series of magnetic resonance images forming the magnetic resonance data set is then reconstructed from the magnetic resonance signals and sensitivity information regarding the plurality of reception coils by using the sliding reconstruction window and a reconstruction technique for undersampled magnetic resonance data. The k-space trajectories for each acquisition step are chosen to allow controlled aliasing in all three spatial dimensions including the readout direction.

Abstract: A computer implemented method for planning a liver resection includes receiving a three-dimensional medical image dataset comprising a depiction of a liver of a patient, the depicted liver comprising a tumor; segmenting multiple functional segments of the liver in the medical image dataset; segmenting the tumor in the medical image dataset, selecting at least one of functional segments that comprise the tumor or functional segments into which the tumor extends, based on the segmentation of the tumor and the segmentation of the functional segments; selecting for the respective selected functional segment, if a complete removal or a partial removal of the selected functional segment is to be performed in a proposed liver resection plan, wherein selecting for the respective selected functional segment is based on the segmented tumor; and providing the proposed liver resection plan.

Abstract: A computer-implemented method for providing a data element by way of a temporal sequence of frames, comprises: receiving or determining a representation of the data element by a number of data blocks, wherein the data blocks have a fixed order relative to one another; determining a number of frames and a number of data blocks per frame, wherein the frames have a fixed order relative to one another which defines the temporal sequence; distributing the data blocks among the frames such that the fixed order of the frames corresponds to the fixed order of the data blocks; and providing the frames in the temporal sequence, wherein the data element is provided by providing all of the frames.

Abstract: A computer-implemented method of adjudicating an imaged lesion, comprising: receiving a diagnostic image showing a lesion; processing the diagnostic image in a machine learning algorithm previously trained to classify the lesion and to propose, based on a lesion class for the lesion, a blood test panel suited to adjudicate the lesion; and outputting the proposed blood test panel to a user.

Abstract: A magnetic resonance (MR) image may be created from MR data by receiving the MR data, applying a transform to the MR data, where a result of the applying is an image space representation of the MR data, determining a wrapped phase map of the image space representation of the MR data, obtaining an unwrapped phase map based on the wrapped phase map, scaling the unwrapped phase map into a B0 field map, reconstructing the MR image based on the MR data, correcting the MR image based on the B0 field map, and outputting the MR image. The scaling may be free of accounting for effects on the MR data by artifact sources secondary to B0 field inhomogeneities.

Abstract: A system and method comprises execution of a segmented magnetic resonance imaging pulse sequence, the pulse sequence including a plurality of shots, each of the plurality of shots including an inversion recovery preparation pulse and acquiring a respective segment of k-space lines, wherein each shot comprises a different inversion time between a peak of the inversion recovery pulse and a midpoint of the acquisition of the respective segment of k-space lines, and reconstruction of an image based on the acquired respective segments of k-space lines. In some aspects, the k-space lines acquired by each shot are consecutive in a phase encoding direction of k-space and each shot acquires the segments of k-space lines acquired by prior shots in the sequence, and a time delay between the inversion recovery preparation pulse and acquisition of a first segment for each shot is equal.

Abstract: The disclosure relates to techniques for operating an imaging facility for preparing an imaging process. For each imaging process, at least one image dataset is reconstructed in a reconstruction step from raw data recorded in accordance with at least one recording protocol using a reconstruction facility with reconstruction software. For advance calculation of a duration for the reconstruction step, an input dataset comprising at least one protocol parameter of the recording protocol influencing the duration of the reconstruction step and at least one hardware parameter describing the hardware of the reconstruction facility and/or at least one software parameter describing the reconstruction software is compiled, and the duration is ascertained from the input dataset by way of a trained advance calculation function, which is trained by machine learning.

Abstract: A base body of a computed tomography drum is disclosed. In an embodiment, the base body includes at least the following components: a base plate, an outer ring and an inner ring. The inner ring is arranged concentrically with the outer ring. The outer ring and the inner ring are arranged on the base plate. At least two of the components are configured as separately producible components. Two of the separately producible components are connected to one another by way of at least one of: bonding, welding, riveting, clinching, clinch-bonding and/or rivet-bonding.

Abstract: An in-vitro method for determining a cell type of a white blood cell in a biological sample does so without labeling, wherein a microscopy apparatus images the cell, and physical parameters of the cell are ascertained from the image of the cell by an automated image analysis. The cell type of the white blood cell is determined on the basis of the physical parameters and on the basis of principal component analysis parameters (PCA parameters) , wherein the principal component analysis parameters comprise linear combinations of at least some of the physical parameters.

Abstract: A dynamic contrast-enhanced MRI reconstruction method may include: when preparing to inject a contrast agent and during injection thereof, using a DCE-MRI sequence to scan an imaging target, and using a high temporal resolution scanning parameter value pre-inputted by a user to acquire K-space data of each phase with high temporal resolution; based on the acquired K-space data of each phase with high temporal resolution, reconstructing an image of each phase with high temporal resolution; based on a low temporal resolution reconstruction parameter value pre-inputted by the user, subjecting adjacent K-space data of multiple phases with high temporal resolution to summing and averaging in a complex field, and subjecting K-space data obtained after averaging to image reconstruction, to obtain an image of each phase with low temporal resolution. Advantageously, images with high and low temporal resolution can be obtained simultaneously with just a single DCE-MRI scan.

Abstract: An X-ray system for acquiring projection measurement data of an examination object comprises: an X-ray emitter arrangement having an X-ray radiation source to emit X-rays; and a photon-counting X-ray detector with at least one detection threshold for spectrally resolved detection of the X-rays. The at least one detection threshold is variable spatially and/or temporally in a same measurement.

Abstract: A local coil for a magnetic resonance apparatus, including: at least one antenna designed to receive radio frequency signals in a frequency and power range of a magnetic resonance measurement; a holding element designed to hold the at least one antenna in a position that is appropriate for application on a diagnostically relevant body region of a patient, wherein the at least one antenna is mechanically connected to the holding element; a base element, wherein a first end of the holding element is mechanically connected to the base element and wherein a second end of the holding element opposite the first end is free-floating; and a guide system that is mechanically connected to the base element and the holding element, and is designed to position the holding element variably with respect to the base element.

Abstract: A computer-implemented method for determination of a volume of calcium in an aorta comprises receiving a medical image dataset of the aorta; determining an aorta center line of the aorta based on the medical image dataset; determining landmarks on the aorta based on the medical image dataset; determining an aorta mask of the aorta based on the medical image dataset; applying the aorta mask to the medical image dataset to create a masked medical image dataset; creating a calcium mask based on the masked medical image dataset; determining at least one aorta segment based on the aorta mask, the aorta center line and the landmarks; determining the volume of calcium of the at least one aorta segment based on the calcium mask and the at least one aorta segment; and providing the volume of calcium of the at least one aorta segment.

Abstract: Methods and systems are provided for voice control of a device which are based in particular on a recording of an audio signal via an audio recording device and a recording of an image signal from an environment of the device via an image recording device. A method includes analyzing the image signal in order to provide an image analysis result, processing the audio signal using the image analysis result in order to provide an audio analysis result, and generating a control signal for controlling the device based on the audio analysis result in order to input said control signal into the device.

Abstract: A method for patient table positioning using a patient table of a magnetic resonance device that is movable within a patient receiving area, wherein the patient table has at least two degrees of freedom with respect to its movement within the patient receiving area. Initially, the patient table is positioned within the patient receiving area in a first patient table position and first magnetic resonance data from the patient is captured. The first magnetic resonance data is used to determine a position of a region of interest and to ascertain a second patient table position, wherein in the second patient table position, the region of interest has a minimum possible distance from an isocenter. This is followed by positioning in the second patient table position, wherein at least two degrees of freedom are available to the patient table for movement into the at least one second patient table position.