Abstract: A three-dimensional magnetic resonance image dataset of an object is acquired using a multi-shot imaging protocol in which several k-space lines are acquired in one shot. The three-dimensional k-space includes a central region and a periphery, wherein the sampling order of k-space lines differs between the central region and the periphery. At least one k-space line from each shot passes through the central region, whereas the periphery includes regions, which are sampled by k-space lines from a subset of the plurality of shots.

Abstract: Methods, computing devices, and MRI systems that reduce artifacts produced by Maxwell gradient terms in TSE imaging using non-rectilinear trajectories are disclosed. With this technology, a RF excitation pulse is generated to produce transverse magnetization that generates a NMR signal and a series of RF refocusing pulses to produce a corresponding series of NMR spin-echo signals. An original encoding gradient waveform comprising a non-rectilinear trajectory is modified by adjusting a portion of the original encoding gradient waveform or introducing a zero zeroth-moment waveform segment at end(s) of the original encoding gradient waveform. During an interval adjacent to each of the series of RF refocusing pulses a first gradient pulse is generated. At least one of the first gradient pulses is generated according to the modified gradient waveform. An image is constructed from generated digitized samples of the NMR spin-echo signals obtained.

Abstract: A meta-learning system includes an inner function computation module, adapted to compute output data from applied input data according to an inner model function, depending on model parameters; an error computation module, adapted to compute errors indicating mismatches between the computed output data and target values; a state update module, adapted to update the model parameters of the inner model function according to an updated state, updated based on a current state of the state update module, in response to an error received from the error computation module. The state update module is learned to adjust the model parameters of the inner model function, such that a following training of the inner model function with training data is improved.

Abstract: An angiographic examination method for depicting a target region as an examination object using an angiography system includes capturing a volume data set of the target region with the examination object, registering the volume data set to a C-arm, and extracting information about an assumed course of the examination object in the volume data set. The method also includes generating a 2D projection image of a medical instrument in the target region, 2D/3D merging the 2D projection image and the registered volume data set for generating a 2D overlay image, and detecting the instrument in the 2D overlay image with a first projection matrix. The method includes generating a virtual 2D projection using a virtual projection matrix, 3D reconstructing the instrument, and distorting at least part of the reference image such that the current and the assumed course of vessels are made to be congruent.

Abstract: Systems and methods are provided for three dimensional depth reconstruction of vessels in two dimensional medical images. A medical image comprising braches of one or more vessels is received. A branch overlap image channel that represents a pixelwise probability that the branches overlap is generated. A set of branch orientation image channels are generated. Each branch orientation image channel is associated with one of a plurality of orientations. Each branch orientation image channel representing a image channel represents a pixelwise probability that the branches are oriented in its associated orientation. A multi-channel depth image is generated based on the branch overlap image channel and the set of branch orientation image channels. Each channel of the multi-channel depth image comprises portions of the branches corresponding to a respective depth.

Abstract: Systems and methods for assessing expansion of an abnormality are provided. A first input medical image of a patient depicting an abnormality at a first time and a second input medical image of the patient depicting the abnormality at a second time are received. The second input medical image is registered with the first input medical image. The abnormality is segmented from 1) the first input medical image to generate a first segmentation map and 2) the registered second input medical image to generate a second segmentation map. The first segmentation map and the second segmentation map are combined to generate a combined map. Features are extracted from the first input medical image and the registered second input medical image are based on the combined map. Expansion of the abnormality is assessed based on the extracted features using a trained machine learning based network. Results of the assessment are output.

Abstract: One embodiment relates to a method for providing image data of a hollow organ. The method includes applying a first contrast agent to a lumen of the hollow organ, to obtain a contrast agent filling of the lumen; applying a second contrast agent to a blood vessel system, the blood vessel system supplying a wall of the hollow organ, the second contrast agent having a different absorption spectrum than the first contrast agent; generating spectrally resolved computed tomography data of an examination area, the examination area including the hollow organ; calculating first image data indicative of a presence of the first contrast agent and second image data indicative of a presence of the second contrast agent by applying a material separation algorithm onto the spectrally resolved computed tomography data; and providing the image data of the hollow organ including the first image data and the second image data.

Abstract: The disclosure relates to techniques for automatically characterizing liver tissue of a patient, comprising receiving morphological magnetic resonance image data set and at least one magnetic resonance parameter map of an imaging region comprising at least partially the liver of the patient, each acquired by a magnetic resonance imaging device, via a first interface. The techniques further include applying a trained function comprising a neural network to input data comprising at least the image data set and the parameter map. At least one tissue score describing the liver tissue is generated as output data, which is provided using a second interface.

Abstract: Systems and methods for quantifying a shift of an anatomical object of a patient are provided. A 3D medical image of an anatomical object of a patient is received. An initial location of landmarks on the anatomical object in the 3D medical image is determined using a first machine learning network. A 2D slice depicting the initial location of the landmarks is extracted from the 3D medical image. The initial location of the landmarks in the 2D slice is refined using a second machine learning network. A shift of the anatomical object is quantified based on the refined location of the landmarks in the 2D slice. The quantified shift of the anatomical object is output.

Abstract: A monitoring unit to support a medical workflow for examining a patient, comprises: a base body including multiple attachment slots; multiple sensor units, each of the multiple sensor units being attached to one of the multiple attachment slots and/or permanently fixed to the base body, at least one of the multiple sensor units being configured to collect patient related data, and at least one of the multiple sensor units being configured to collect environmental data. A computing device is configured to: process the patient related data and the environmental data; create output data based on the patient related data and/or the environmental data; and initiate output of the output data via an output device, the output device being configured to receive the output data from the computing device and to output the output data.

Abstract: The present disclosure is directed to a motor for a magnetic resonance (MR) tomography room, to a patient table for the MR room, to a MR elastography device, and to a MR tomography device. A MR tomography device for a MR elastography imaging protocol is arranged within the MR tomography room, and includes a rotational drive for supplying rotational energy to power a MR elastography transducer usable during the MR elastography imaging protocol, and a support structure. The rotational drive comprises a terminal for connecting the MR elastography transducer to the rotational drive, and a bearing means configured such that the position of the terminal relative to the support structure is adaptable along a trajectory predetermined by the bearing means. The rotational drive is mounted to the support structure via the bearing means.

Abstract: A directly-converting X-ray detector includes: a directly-converting sensor material, which is to be maintained at a working temperature, and configured to have a DC voltage applied thereto; a conditioning unit configured to cause a base current to flow through the sensor material; a heating unit for the sensor material, the heating unit configured to be regulated by a regulating unit to maintain the working temperature; and a control device having a plurality of electronics units, which include the regulating unit. When a new configuration and/or a reconfiguration process takes place, the control device is configured to maintain the operation of the conditioning unit, and to interrupt the operation of the heating unit and/or maintain the operation of the heating unit with the control value most recently ascertained in ordinary operation of the regulating unit.

Abstract: A magnetic resonance tomography unit and a method is provided in which a patient couch may be moved in relation to the longitudinal direction into the patient tunnel in the transversal direction into a left-hand side extreme position and an opposite-lying right-hand side extreme position. Using an image acquisition facility in the left-hand side extreme position a right-hand side part is acquired and in the right-hand side extreme position a left-hand side part of the outer contour of the predetermined object is acquired. Using the image acquisition facility, the outer contour of the object is subsequently created from the left-hand side part of the outer contour and also from the right-hand side part of the outer contour.

Abstract: A method is for controlling a medical imaging system. The method includes providing a data record for a patient, the data record including indication data; mapping at least the indication data into an ontology; providing a control data library including control data records for at least one medical imaging system; automatically determining a control data record from the control data library as a function of the at least indication data mapped into the ontology, via at least one of an inference and numerical modeling; and controlling the medical imaging system with the control data record automatically determined. Furthermore, a related control facility and a medical imaging system are also disclosed.

Abstract: A magnetic resonance imaging device having a field generation unit configured to provide a magnetic field in an imaging volume of the magnetic resonance imaging device. The field generation unit has at least one magnet. A surface of the field generation unit directed towards the imaging volume of the at least one magnet has a concave shape, wherein a direction of access to the imaging volume is oriented essentially perpendicular to a main direction of magnetic field lines in the imaging volume.

Abstract: Systems and methods are provided for enhancing a medical image. An initial medical image having an initial field of view is received. An augmented medical image having an expanded field of view is generated using a trained machine learning model. The expanded field of view comprises the initial field of view and an augmentation region. The augmented medical image is output.

Abstract: A method is for supporting clinical decisions for a diagnosis or therapy of a patient using a medical imaging system. An embodiment of the method includes receiving a procedure order; based on the received procedure order, automatically identifying a clinical context of the ordered procedure; generating preliminary imaging data of at least a part of the patients anatomy; generating feature extraction data based on the identified clinical context and on the preliminary imaging data; extracting at least one clinical context specific feature using the generated feature extraction data; annotating the at least one extracted clinical context specific feature to obtain at least one annotated extracted feature; and selecting, for the identified clinical context, a similar case data set from a reference database of case data sets based on the at least one annotated extracted feature.

Abstract: A method is for providing a second artifact-reduced x-ray image dataset based on an artifact-affected x-ray image dataset of an examination object, the artifact being caused by an object at least one of on, outside of and within the examination object. In an embodiment, the method includes creating a first artifact-reduced x-ray image dataset based on the artifact-affected x-ray image dataset, based on which a second projection dataset is created; identifying an object area which maps the object in the at least one projection; creating a third projection dataset based on the first projection dataset; and crating the second artifact-reduced x-ray image dataset based on the third projection dataset, through which the second artifact-reduced x-ray image dataset is provided.

Abstract: A method for compiling a dental overview map of the dentition of an examination object on the basis of magnetic resonance (MR) data from a MR measurement of the dentition. Performing an MR measurement for acquiring MR data from the dentition. Performing an analysis of sections of the dentition in order to determine an abnormality on the basis of the MR data, wherein a section of the dentition includes a subset of the number of teeth in the dentition, and determining an abnormality in at least one section. Compiling a dental overview map as a function of the MR data and the abnormality of the at least one section of the dentition. Providing the dental overview map.

Abstract: A brushless drive system includes a reluctance rotor and a stator for generating a magnetic flux. The stator has a cylindrical stator yoke, an annular permanent magnet and a coil unit. The reluctance rotor has a cylindrical rotor yoke that is made of a soft-magnetic material, is free from magnetic sources and is configured to be driven about an axis of rotation via the magnetic flux. The permanent magnet and the coil unit are axially spaced apart along the axis of rotation. The stator yoke, the permanent magnet, the rotor yoke and the coil unit form a magnetic circuit for guidance of the magnetic flux. The magnetic circuit is configured such that, between the permanent magnet and the coil unit, an axial direction of the magnetic circuit in the stator yoke and an axial direction of the magnetic circuit in the rotor yoke have opposite signs.