Abstract: A method is for generating synthetic training data and for training deep learning algorithms for tumor lesion characterization. In an embodiment, the method for generating synthetic training data for training a deep learning algorithm includes training a Generative Adversarial Network to generate synthetic image data, the Generative Adversarial Network including a generator and a discriminator; and using the generator of the Generative Adversarial Network to generate synthetic image data as the synthetic training data.

Abstract: A method for supporting an evaluator in evaluation of a CT data set of a vascular system is provided. The vascular system is segmented, and an evaluation parameters are determined from the segmentation. An abstracted representation of the vascular system up to the limit generation is displayed, where each vascular segment is allocated at least one display element of a predefined minimum size that is the same for all vascular segments. Display elements of a path from the vascular segment of the zeroth generation to a vascular segment of the limit generation are represented in a first direction of the representation in succession, and display elements of the same generation allocated to different paths follow one another in a second direction transverse thereto. Each display element allocated to a vascular segment is represented in a type of representation corresponding to the value of the evaluation parameter for the vascular segment.

Abstract: A computer-implemented method is for dynamic data minimization of a data set for transfer of the minimized data set from a central instance to outside of the central instance, the data set including a second set of individual attributes. The method includes provisioning a whitelist including a first set of attributes being a subset of a second set of attributes. The minimized data set includes the first set of attributes. The method further includes determining an attribute list including a third set of attributes, the third set of attributes including at least the complement of the first set of attributes in relation to the second set of attributes. The method also includes provisioning the attribute list by the central instance for use outside of the central instance.

Abstract: A method for controlling a medical apparatus. An embodiment of the method includes providing, via an interface, a first function dataset of a patient, measured within a first time interval; applying, via a processor, a trained function to the measured first function dataset provided, to estimate a second function dataset of the patient, predicted for a second time interval, wherein at least one parameter of the trained function is adapted based upon a comparison between a predicted, second training function-dataset for a second training time-interval, the second training function-dataset being predicted based upon a first training function-dataset of a training patient for a first training time-interval, and a comparison function-dataset of the training patient for the second training time-interval, and wherein the first training function-dataset and the comparison function-dataset are associated; and controlling, via a controller, the medical apparatus based upon the estimate.

Abstract: A method is for making an X-ray recording of an examination region of an examination object with an X-ray system including an X-ray source arranged on an emitter displacement unit and an X-ray detector including a detection area, arranged on a detector displacement unit. The method includes selecting the examination region and portion-wise recording successive recording portions in relation to the examination region. The portion-wise recording includes moving the X-ray source and the X-ray detector, determining a strip-shaped detection region within the detection area, by expanding an extent of the X-ray recording compared with a further different X-ray recording, and acquiring and recording each respective successive recording portion, of the successive recording portions, using the determined detection region and the X-ray source. Finally, the method includes generating an assembled X-ray recording of the examination region from the successive recording portions recorded.

Abstract: Devices, kits, and methods related to embodiments of an improved liquid test sample injection device comprising a sample mixture that comprises at least one sample flag compound for detecting the presence or non-presence of a patient's liquid test sample upon being interrogated by a pre-determined wavelength of light.

Abstract: The disclosure relates to techniques for providing a process plan of a magnetic resonance examination, said process plan incorporating n protocols where n?1, comprising selecting an examination strategy comprising a number n of metaprotocols and a chronological order of the n metaprotocols, wherein each of the n metaprotocols comprises a protocol category comprising a plurality of different variants of a protocol of the one protocol category. The process plan further includes selecting a variant of a protocol of the one protocol category of an ith metaprotocol, where 1?i?n, repeating the step of selecting the variant of a protocol of the one protocol category of an ith metaprotocol until i=n, and providing the magnetic resonance examination process plan comprising the n protocols.

Abstract: A method for calibrating an imager of a reagent analyzer, comprises positioning a dry reagent pad at a first read position in a field of view of the imager, the first read position illuminated by an illumination source with a first intensity, detecting a reference optical signal by the imager, indicative of a first reflectance value of the dry reagent pad at the first read position, positioning the dry reagent pad at a second read position, the second read position illuminated with a second intensity different from the first intensity, detecting a first optical signal by the imager, indicative of a second reflectance value of the dry reagent pad at the second read position, and calculating, by a processor, a calibration factor for the dry reagent pad at the second read position based on a difference between the reference optical signal and the first optical signal.

Abstract: The disclosure provides an in vitro diagnostic method that is sensitive and accurate for detection and quantification of targets of interest that are associated with disease. There is an ongoing need for a highly sensitive detection system. In addition to the methods, stable complexes and kits comprising the components necessary to perform the disclosed detection methods are described.

Abstract: A computer program, a system and a method for normalizing medical images from a type of image acquisition device using a machine learning unit are disclosed. An embodiment of the method includes receiving a set of image data with images; decomposing each of the images of the set of images into components by incorporating at least information from different settings of the image acquisition device-specific image processing algorithms; and normalizing each of the components via a machine learning unit by processing at least information from the different settings of the image acquisition device-specific processing algorithms to provide a set of normalized images with a relatively decreased variability score.

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: Improved analyte detection system within a blood gas analyzer, the improved system comprising and/or consisting of at least one CO-oximetry system that is formed as an integrated, unitary structure(s) with an electrochemical sensor module, and methods of use related thereto.

Abstract: A system and method is provided for acquisition of magnetic resonance fingerprinting (“MRF”) data that includes determining a non-locally sequential sampling pattern for a Cartesian grid of k-space, performing a series of sequence blocks using acquisition parameters that vary between sequence blocks to acquire MRF data from a subject using the Cartesian grid of k-space and the determined non-locally sequential sampling pattern, assembling the MRF data into a series of signal evolutions, comparing the series of signal evolutions to a dictionary of known signal evolutions to determine tissue properties of the subject, and generating a report indicating the tissue properties of the subject.

Abstract: A computer tomography installation having contactless data signal transmission is provided. The device includes a conductor element that is longitudinally slit coaxial, at least one high-frequency transmitting unit that feeds a high-frequency carrier signal modulated with a data signal to be transmitted into the conductor element, and at least one longitudinally slit coaxial coupling conductor element that is configured to receive the emitted modulated high-frequency carrier signal from the near field of the conductor element. The device also includes a high-frequency receiving unit that is electrically connected to the coupling conductor element and is configured to extract the data signal from the received modulated high-frequency carrier signal. The conductor element and the coupling conductor element are arranged to be movable relative to each other. The conductor element is arranged on a rotatable gantry part, and the coupling conductor element is arranged on a stationary gantry part.

Abstract: Systems and method are described for medical image segmentation. A medical image of a patient in a first domain is received. The medical image comprises one or more anatomical structures. A synthesized image in a second domain is generated from the medical image of the patient in the first domain using a generator of a task driven generative adversarial network. The one or more anatomical structures are segmented from the synthesized image in the second domain using a dense image-to-image network of the task driven generative adversarial network. Results of the segmenting of the one or more anatomical structures from the synthesized image in the second domain represent a segmentation of the one or more anatomical structures in the medical image of the patient in the first domain.

Abstract: A method is proposed for recording diagnostic measurement data of a head of an examination object in head imaging via a magnetic resonance device. The method comprises performing an overview scan of the head of the examination object, wherein overview measurement data is acquired in the overview scan and performing various diagnostic scans of the head of the examination object based on the acquired overview measurement data, wherein diagnostic measurement data is acquired in the various diagnostic scans.

Abstract: A magnetic resonance coil having at least one tuning device for tuning the magnetic resonance coil, a magnetic resonance device, and a method for tuning a magnetic resonance coil are provided. The at least one tuning device includes a plurality of capacitors that are mechanically interlinked.

Abstract: A method, device and a system of determining a concentration of one or more analytes in a sample is disclosed. In one aspect of the invention, the method includes introducing the sample through a channel The method further includes illuminating the sample with light having varying wavelengths. Additionally, the method includes obtaining an image of the illuminated sample at each of the wavelength. Furthermore, the method includes analyzing the image to determine the concentration of the one or more analytes.

Abstract: The disclosure relates to techniques for generating a deformation model for a tissue of an examination object in dependence on a positioning of the examination object. The technique may include provisioning of long-term MR data recorded in a first time period from a region of interest comprising the tissue of the examination object, an ascertainment of time-resolved first position data describing the tissue based on the long-term MR data, a provisioning of time-resolved second position data recorded in the first time period from at least two surface points of a surface of the examination object, and a determination of the deformation model for the tissue by correlating the first position data with the second position data.