Abstract: The present invention relates to a method and a cone beam computed tomography apparatus for reducing artefacts in an image acquired with the cone beam computed tomography apparatus using a second pass artefact reduction method. Projection data of an object are acquired, wherein the projection data comprises a first subset of data to be used for reconstruction of a first image, and a second subset of data comprising projection data not to be used for the construction of the first image, wherein the second subset of data comprises projection data not comprised in the first subset of data. A first and a second image are reconstructed using the first and the second subset of data, respectively. A second pass artefact reduction method is performed using the second image as input image of the second pass artefact reduction method, thereby reducing artefacts in the first image.

Abstract: A medical device for treating an associated patient includes a bronchial sensor device configured to measure fluid pressure in a bronchus of the associated patient; and an electronic controller configured to: receive the fluid pressure data from the bronchial sensor device; and calculate a fluid flow measurement through the bronchus based on the measured fluid pressure.

Abstract: A non-transitory storage medium stores instructions readable and executable by at least one electronic processor to receive clinical data for a current patient (P); search a database of CT scans and/or patient-specific mechanical ventilation models for other patients using the clinical data for the current patient as a search criterion to identify a similar patient in the database and similar patient data (S) comprising a CT scan and/or a patient-specific mechanical ventilation model for the similar patient; determine a patient-specific mechanical ventilation model for the current patient based on the CT scan and/or patient-specific mechanical ventilation model for the similar patient; generate ventilator configuration data for mechanically ventilating the current patient based on the determined patient-specific mechanical ventilation model for the current patient.

Abstract: One embodiment of the present disclosure may provide a method for training and tuning a neural network model, including: adding simulated noise to an initial image of an object to generate a noisy image (601, 603), the simulated noise taking the same form as natural noise in the initial image; training a neural network model on the noisy image using the initial image as ground truth (605), wherein in the neural network model is trained on the noisy work model a tuning variable is extracted or generated, the tuning variable defining an amount of noise removed during use (607); identifying a first value for the tuning variable that minimizes a training cost function for the tuning variable is identified or for the initial image; and assigning a second value for the tuning variable (611), the second value different than the first value, wherein the neural network model identifies more noise in the noisy image when using the second value than when using the first value.

Abstract: The present invention relates to an apparatus (10) for processing of data acquired by a dark-field and/or phase contrast X-ray imaging system, the apparatus comprising an input unit (20), and a processing unit (30). The input unit is configured to provide the processing unit with blank scan fringe data acquired by a dark-field and/or phase contrast X-ray imaging system comprising an interferometry arrangement and detector. The input unit is configured to provide the processing unit with sample scan fringe data acquired by the dark-field and/or phase contrast X-ray imaging system, with an object to be imaged is positioned within the dark-field and/or phase contrast X-ray imaging system. The processing unit is configured to pre-process the blank scan fringe data to determine pre- processed blank scan fringe data comprising utilization of an effective point spread function “PSF”.

Abstract: Provided is an apparatus (10) for processing dark-field X-ray image data information. The apparatus comprises a data interface (20); and a data processing unit (30). The data interface (20) is configured to provide the data processing unit with dark-field X-ray image data. The data processing unit (30) is configured to segment the image data to provide segmented image data of the lung, the segmented image data comprising at least a first lung segment and a second lung segment distinguishable therefrom, the first lung segment and the second lung segment being segmented to have a defined volume. The data processing unit (30) is further configured to derive, from the image data, at least a first dark-field signal value assigned to the first lung segment and a second dark-field signal value assigned to the second lung segment.

Abstract: Disclosed is a method for determining a gaze direction of a user (5) by employing a neural network (220) operating on the basis of image data of an image of a face of the user (5). The neural network (220) detects an ellipse (20) representing an outer border of an iris (17) of the user’s eye (15) and outputs a first vector (31), a second vector (32) and a respective first and second probability (p1, p2) representing the probability that the first vector (31) or the second vector (32) is the gaze direction Further disclosed are an apparatus configured to perform such method and a vehicle comprising such apparatus.

Abstract: An apparatus (1) for use in conjunction with a medical imaging device (2) having an imaging device controller (4) that displays a graphical user interface (GUI) (8) including a preview image viewport (9). The apparatus includes at least one electronic processor (20) programmed to: receive a video feed (17) of the GUI displayed on the imaging device controller; extract a preview image (12) displayed in the preview image viewport from the live video feed of the GUI; perform an image analysis (38) on the extracted preview image to detect one or more image features (42) indicative of one or more potential problems associated with a medical imaging examination performed with the medical imaging device; and output an alert (30) when one or more potential problems associated with the medical imaging examination is detected from the one or more image features.

Abstract: The present invention relates to an apparatus (10) for generating X-ray imaging data. It is described to position (210) a first grating between an X-ray source and a second grating. The second grating is positioned (220) between the first grating and a third grating. A third grating is positioned (230) between the second grating and an X-ray detector. An object is positioned (240) between the first grating and the third grating. At least one of the three gratings has a pitch attribute of having a constant grating pitch. At least one of the three gratings has a pitch attribute of having a varying grating pitch. Both gratings of an adjacent pair of gratings are bent such that a distance between the two adjacent gratings is constant as a function of fan angle. Both gratings of the adjacent pair of gratings that are bent have the same pitch attribute. An X-ray detector detects (250) at least some of the X-rays transmitted by the three gratings and the object.

Abstract: An image processing system (IPS) and related method for supporting tomographic imaging. The system comprises an input interface (IN) for receiving, for a given projection direction (pi), a plurality of input projection images at different phase steps acquired by a tomographic X-ray imaging apparatus configured for dark-field and/or phase-contrast imaging. A machine learning component (MLC) processes the said plurality into output projection imagery that includes a dark-field projection image and/or a phase contrast projection image for the said given projection direction.

Abstract: The present invention relates to an X-ray imaging system (10), comprising an X-ray image acquisition unit (20); and a processing unit (30). The X-ray image acquisition unit is configured to operate in at least one scout scan mode of operation. The X-ray image acquisition unit is configured to operate in a plurality of diagnostic image acquisition modes of operation. The X-ray image acquisition unit is configured to operate in a specific scout scan mode of operation of the at least one scout scan mode of operation to acquire a scanogram of a body part of a patient. The X-ray image acquisition unit is configured to provide the scanogram to the processing unit.

Abstract: A monitoring system for monitoring a kinematic coupling between an actuator and an element controlled by the latter includes a first sensor to detect the operative movement of the actuator. A second sensor is designed to detect the actual movement of the controlled element. A computer unit, based on the operative movement of the actuator, determines an anticipated movement of the controlled element and compares this anticipated movement with the actual movement of the controlled element. An error message is emitted when a value of the deviation between the anticipated movement and the actual movement exceeds a predefined threshold value.

Abstract: An imaging system (IS) including device (G, IFD) for phase contrast and/or dark field imaging such as a grating (G). The device has a periodic structure with a spatial period p. The imaging system (IS) further includes a phase stepping mechanism (PSM) configured to facilitate a relative phase stepping motion between the device (G, IFD) and a focal spot (FS) of an X-ray source (XS) of the imaging system (IS). The relative phase stepping motion covers a distance greater than the said spatial period to reduce artifacts in dark-field or phase contrast imagery caused by defects in the grating.

Abstract: A focusing grating device (100) is described comprising a substrate (402) and a grating comprising a plurality of grating features (408) positioned on the substrate (402). The grating features (408) are positioned non-perpendicular to the substrate surface, thereby inducing a first focusing direction. The substrate (402) is curved, thereby inducing a second focusing direction, which is different from the first focusing direction. An X-ray system (300) comprising such a focusing grating device (100) as well as a method for producing such a focusing grating device (100) are also described.

Abstract: The present invention relates to an apparatus (10) for correction of collimator penumbra in an X-ray image. The apparatus comprises an input unit (20), a processing unit (30), and an output unit (40). The input unit is configured to provide the processing unit with X-ray data. The processing unit is configured to determine at least one collimator corrected X-ray image of an object. The determination comprises application of an intensity modulation mask to the X-ray data. The intensity modulation mask accounts for intensity variation across a detector of an X-ray acquisition system caused by at least one collimator blade of the X-ray acquisition system, and the X-ray acquisition system was used to acquire the X-ray data. The output unit is configured to output the at least one collimator corrected X-ray image of the object.

Abstract: This invention relates to an image processing device (1) comprising an input (2) for receiving image data representative of a region of interest in the body of a patient from a medical X-ray imaging apparatus (100). The image data comprises a first dark-field image obtained for a first X-ray spectrum and a second dark-field image obtained for a second, different, X-ray spectrum. A combination unit (3) provides a combination image that is representative of a medical condition map, e.g. a lung condition map, by combining the first dark-field image and the second dark-field image.

Abstract: A method for identifying occupant-specific settings for a vehicle comprises detecting a vehicle occupant; collecting biometric occupant data of the detected vehicle occupant; assembling a descriptor based on at least part of the collected occupant data; storing the descriptor in a database; and updating a cluster of descriptors in the database based on the assembled descriptor, wherein descriptors grouped in the cluster are close to each other, and wherein the cluster corresponds to the detected vehicle occupant. Based on the cluster and assembled descriptor can be assigned to the cluster, and vehicle setting data can be calculated that has been stored in association with the cluster. The vehicle setting data corresponds to occupant-specific settings for the vehicle. A vehicle comprises a system capable of performing such method.

Abstract: A medical device for treating an associated patient includes an electronic processing device configured to receive ventilation waveform data during mechanical ventilation of the associated patient and to perform a patient-ventilator asynchrony monitoring method including detecting initial patient-ventilator asynchrony events during a training period of the mechanical ventilation by analysis of measurements of the associated patient acquired during the training period; training a machine learning (ML) component to analyze ventilation waveform data to detect patient-ventilator asynchrony events using the ventilation waveform data received during the training period with labels indicating the initial patient-ventilator asynchrony events; applying the patient-specific ML component to the ventilation waveform data received after the training period to detect patient-ventilator asynchrony events occurring after the training period; and a display device configured to display an indication of patient-ventilator async

Abstract: A method for displaying a pointer in an instrument panel is described. The method comprises retrieving a current instrument status of an instrument of the instrument panel that is to be displayed, determining a pointer form on the basis of the current instrument status, retrieving of the determined pointer form from a texture atlas, and rendering the pointer in the instrument panel with the retrieved pointer form. There is further described a device for displaying an instrument panel, which device comprises a display module configured to display at least one instrument panel having at least one pointer instrument, and a controller configured to carry out the method using the display module. A vehicle having such a device is also disclosed.

Abstract: A system (IPS) and related method for dark-field image processing. The system comprises one or more input interfaces (IN) for receiving, at a first IR resolution, a first dark-field image (??) of an object (OB), and, at a second resolution higher than the first resolution, a second dark-field image (?) of the object. A combiner (?) configured to combine first information from the first image and second information from the second image to obtain an enhanced dark-field image ?†. The system helps reduce statistical bias in dark-field imaging.