Abstract: A method is for providing a normalized image. The method includes receiving a non-normalized image including first pixels and non-normalized intensities, each of the first pixels being characterized by one of the non-normalized intensities. Furthermore, the method includes determining a subtraction histogram, the subtraction histogram being configured to map a first intensity to the difference between the relative frequency of the first intensity and the relative frequency of a second intensity, the first intensity being one of the non-normalized intensities and the second intensity being one of the non-normalized intensities. Furthermore, the method includes providing a normalized image including second pixels and normalized intensities based on the non-normalized image and based on the subtraction histogram, each of the second pixels being characterized by one of the normalized intensities.

Abstract: A method is disclosed for moving a robot arm for an ultrasound examination, an ultrasound probe being attached to the robot arm. An associated ultrasound system is also disclosed. In an embodiment, the method includes providing a trained artificial neural network recording a medical issue; determining a motion dataset containing a motion sequence of the robot arm by applying the trained artificial neural network to the medical issue; transferring the motion dataset to a controller of the robot arm; and moving the robot arm in accordance with the motion sequence of the motion dataset. An associated second computing unit, and an associated computer program product are also disclosed.

Abstract: A method and device for determining a flow situation in a vessel are disclosed. According to an embodiment of the method, a first image data set containing image information relating to the vessel is used and a vascular tree of the vessel is segmented based upon the first image data set. An organ is also segmented based upon the first image data set or of a second image data set and the organ is assigned at least one area of a parenchyma of the organ. Via texture analysis, a texture of the area of the organ is determined and, depending on the texture, the area of the organ is assigned a flow characteristic. Depending on the vascular tree and the flow characteristic assigned to the area of the organ, a value of a measured variable characteristic of the flow situation within the vessel is then determined via a numerical method.

Abstract: An embodiment of the invention relates to a scanning device. The scanning device includes a scanning unit to detect radiation received during a scanning operation on an object. An imaging unit is arranged to reconstruct an image for a location on the object based on the detected radiation. A texture analysis unit receives an indicated area of interest of a medical image and computes at least one texture metric for the area of interest. An image comparison unit receives a plurality of texture metrics for a common area of interest within respective medical images and outputs a change metric indicating a measure of variation over time for the area of interest based on a comparison of the plurality of texture metrics.

Abstract: Reagents are disclosed for use with potentiometric magnesium ion selective electrodes, along with kits containing same as well as methods of use thereof.

Abstract: In a magnetic resonance slice multiplexing method and apparatus, measurements are performed repeatedly subject to the assignment of additional phases to the respective slices, the additionally assigned phases being changed with reach repetition such that at least one central k-space region is sampled completely in each of the repeated acquisitions. A calibration dataset is determined from the measurement data acquired completely in the central k-space region. The calibration dataset is used when reconstructing image data for the simultaneously excited slices from the acquired measurement data.

Abstract: In a method for optimizing a magnetic resonance (MR) examination to be performed with an MR scanner on a patient, a token is detected that identifies a medical aid that is to be present in the MR scanner during the examination, in particular to identify an implant implanted in the patient, a medical device to be used during the MR examination or a medical prosthesis worn by the patient. At least one restriction for the planned MR examination is determined in a computer as a function of the token.

Abstract: In a method and magnetic resonance (MR) apparatus for generating an approximated trace-weighted MR image of a subject, at least three diffusion-weighted MR images of the subject are created, based on different diffusion encoding directions and diffusion gradient fields with essentially equal diffusion encoding strengths. A weighting factor is determined by an optimization method based on spatial inhomogeneities of the diffusion gradient fields for each image point of the at least three diffusion-weighted MR images. Based on the weighting factors, the at least three diffusion-weighted MR images are combined to generate the approximated trace-weighted MR image. Furthermore, an ADC map is determined based on approximated trace-weighted images and the effective diffusion encoding strength. Furthermore, a trace-weighted MR image is synthesized with nominal diffusion encoding strength based on a trace-weighted image with effective diffusion encoding strength.

Abstract: A method for magnetic resonance (MR) imaging is provided. A first sampling mask is provided for sampling along a first set of parallel lines extending in a first direction in k-space. A second sampling mask is provided for sampling along a second set of parallel lines extending in a second direction in k-space. The second direction is orthogonal to the first direction. A first set of MR k-space data is sampled using an MR scanner, by scanning a subject in the first direction using the first sampling mask. A second set of MR k-space data is sampled using the MR scanner, by scanning the subject in the second direction using the second sampling mask. An MR image is reconstructed from a combined set of MR k-space data including the first set of MR k-space data and the second set of MR k-space data.

Abstract: A mobile unit with a memory is temporarily connected to a medical technology apparatus is temporarily connected to a central storage device for data transmission. When the mobile unit is connected to the medical technology apparatus, a real configuration of the medical technology apparatus is compared with a local virtual image of the configuration of the medical technology apparatus held in the memory of the mobile unit. Depending on this comparison, the local configuration and/or the real configuration are updated. When the mobile unit is connected to the central storage device, the local configuration is compared with a central virtual image of the configuration of the medical technology apparatus. Depending on this comparison, the central configuration and/or the local configuration are updated. Via the indirect route of the local configuration this enables the real configuration and the central configuration to be mutually updated.

Abstract: An imaging system comprises determination of a charge block for each building block of an MRI pulse sequence and for each readout event of the MRI pulse sequence, determination, for each charge block, of a charge per request associated with the charge block, determination, for each charge block, of an associated charge reduction based on a charge per request associated with the charge block and on a charge available to the charge block after execution of a previous charge block of the MRI pulse sequence, determination, for each charge block associated with a non-zero charge reduction, of a flip angle of a corresponding building block of the MRI pulse sequence based on a charge per request and a charge reduction associated with the charge block, and control of a radio frequency system to deliver the MRI pulse sequence based on the determined flip angles of each building block of the MRI pulse sequence corresponding to a charge block associated with a non-zero charge reduction.

Abstract: Images of a tube tray, which fits within a drawer and holds tubes in slots arranged in rows and columns, are captured to determine characteristics related to the tube tray. By analyzing the images, features of the tubes are determined, providing valuable information in an IVD environment in which a sample handler is processing the tubes. Each row of the tube tray is encoded to allow for detection of a new row moving into focus of cameras. The cameras capture an image of the tube tray, and the image is stored in a memory buffer. When the next row moves into focus, a subsequent image is taken and stored. The result is a series of images providing multi-perspective views of the rows of the tube tray. The images are analyzed to determine characteristics of the tubes, which are utilized by the sample handler in processing the tubes.

Abstract: A system includes applying, to patient tissue, a first imaging sequence comprising first balanced gradient pulse trains and RF pulses, where phases of successive RF pulses in the first imaging sequence differ by a first pulse phase increment, detecting first signals emitted from the patient tissue in response to the first imaging sequence, and to generate a first image based on the first signals, applying, to the patient tissue, a second imaging sequence comprising second balanced gradient pulse trains and RF pulses, where phases of successive RF pulses in the second imaging sequence differ by a second pulse phase increment different from the first pulse phase increment, detecting second signals emitted from the patient tissue in response to the second imaging sequence, and to generate a second image based on the second signals, applying motion-correction processing to the first image to generate a first motion-corrected image, applying motion-correction processing to the second image to generate a second mot

Abstract: A first image data set of a patient is provided to a computer, and the computer performs a first analysis of the first image data set using a first analysis algorithm that is designed for an analysis purpose. After completion of the first analysis, a second analysis algorithm is added to a database to which the computer has access, so that the second analysis algorithm is now available for access by the computer. The second analysis algorithm is designed for the same purpose as the first analysis algorithm. After the second analysis algorithm has been added to the database, a second image dataset of the patient is provided to the computer. Even though the second analysis algorithm is now available to the computer for the same analysis purpose as the first analysis algorithm, the computer automatically defaults to use the first analysis algorithm to perform a second analysis of the second image data set.

Abstract: A computing device accepts an examination task to be carried out by a medical imaging device from an operator. An implementation of the examination task to be realized is accepted and assigned to the examination task. Based upon the data typifying the person to be examined and data defining the type of examination of the examination task, it then establishes possible implementations of the examination task. The database contains data typifying the person, broken down according to the person to be examined, type of examination, medical imaging device and settings of the medical imaging device, a medical technology assessment of the respective examination and a commercial assessment of the respective examination. It specifies the established possible implementations together with the two for selection. Based upon the implementation to be realized, a flowchart is updated so that the flowchart contains what is now the examination task and the assigned implementation.

Abstract: A detector device includes a cooling air pathway for cooling an X-ray detector. The detector device furthermore includes a detector interior space surrounding the X-ray detector. The cooling air pathway runs through at least one subregion of the detector interior space. The detector device includes a pressure limitation unit with a limitation device arranged along the cooling air pathway. The limitation device is designed, based on an incoming cooling air flow, to route a limited volume flow along the cooling air pathway at the X-ray detector.

Abstract: A method is for adapting a parameter of a parameter set for a magnetic resonance measurement of an examination object. An embodiment of the method includes choosing a parameter set required for the magnetic resonance measurement of the examination object; determining at least one interaction indicator applicable to an interaction between electromagnetic radiation and a tissue of the examination object; comparing the interaction indicator with a previously defined upper limit for the interaction indicator and, upon the upper limit being exceeded, determining a group of parameters from the parameter set, adaptable with a view to complying with the upper limit. The method further includes calculating a modification suggestion for a multiplicity of parameters from the group with a view to complying with the upper limit, identifying a parameter to optimize a quality parameter of the magnetic resonance measurement, and adapting the identified parameter in accordance with its modification suggestion.

Abstract: Reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points from a registration of the centerline points with a computed tomography (CT) 3-D centerline, the registration being an affine or deformable transformation; constructing a 3-D centerline vessel tree skeleton of the vessel from the centerline points of the 2-D images; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; defining sample points based sampling on median radii to the 3-D centerline vessel tree skeleton of the initial 3-D vessel surface; and constructing a target 3-D vessel surface by deforming the initial vessel surface using the sample points to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: Methods and systems for detecting properties of sample tubes in a laboratory environment include a drawer vision system that can be trained and calibrated. Images of a tube tray captured by at least one camera are analyzed to extract image patches that allow a processor to automatically determine if a tube slot is occupied, if the tube has a cap, and if the tube has a tube top cup. The processor can be trained using a random forest technique and a plurality of training image patches. Cameras can be calibrated using a three-dimensional calibration target that can be inserted into the drawer.

Abstract: A phase grating for a phase contrast X-ray imaging device has a transverse surface which is to be aligned substantially transversely with respect to a radiation incidence direction and which is spanned by an x-axis and a y-axis perpendicular thereto. The phase grating is formed from a multiplicity of grating webs composed of a basic material, which are arranged alternately with optically denser interspaces. The grating webs subdivide the transverse surface into grating strips which are in each case elongated in the y-direction and which are lined up parallel alongside one another in the x-direction. The phase grating has in each grating strip along a z-axis, which is perpendicular to the transverse plane, a homogeneous total thickness of the basic material which always differs between adjacent grating strips. At least one grating web extends within the transverse surface over a plurality of grating strips.