Abstract: A kitchen and/or gastronomy device, in particular a cooking device, comprising a control unit, a touch display connected to the control unit, and a turning unit with a knob, which can be turned by the user around a Z-axis for executing a user input, and with at least one touch element arranged at the knob for swiping and thereby actuating the touch display; wherein the turning unit is fixed on a surface of the kitchen and/or gastronomy device.

Abstract: A method and system for correcting a difference in contrast agent density in a sequence of contrast-enhanced image frames. A reference image frame is defined in the sequence of contrast-enhanced image frames, and segmentation is performed on the reference image frame to determine a location of a region of interest within the reference image frame. The region of interest is a region of the reference image frame that contains contrast agent. Other image frames in the sequence of contrast-enhanced images are corrected based on a difference in contrast agent density/image intensity in the region of interest relative to the region of interest in the reference image frame.

Abstract: A system and method for achieving more accurate results when applying an image processing task to a series of medical images of a patient, without significantly increasing processing resource. The proposed system and method is based on receiving a plurality of image sequences of a particular anatomical region, each capturing cyclical movement of an anatomical object. Each image sequence is supplied to a classifier module which employs use of one or more machine learning algorithms to derive at least one score for each image sequence indicative of predicted success or quality of a result of the image processing task if applied to the given image series. This permits an assessment to be made in advance of which of the plurality of image series is most likely to result in the best (e.g. highest quality, or greatest amount of information) results from the image processing task.

Abstract: A method is provided for determining one or more tissue boundaries within ultrasound image data of anatomical region. The method is based on generating two separate images from the same input ultrasound data, acquired in a single acquisition event. One image is generated with contrast enhancement, so that boundaries surrounding a fluid-containing region are especially well visible and, the second image is generated without this enhancement, or with a different enhancement so that boundaries surrounding tissue regions are especially well visible. An image segmentation procedure is then applied which uses a combination of both images as input and uses both to determine the boundaries within the imaged regions.

Abstract: A method for use in image reconstruction of CT projection data, which aims at reducing motion artefacts in reconstructed images caused by movement of anatomical bodies. Embodiments are based on mitigating motion artefacts based on restricting the range of data that is used for reconstructing each slice. More particularly, a sub-range of the projection data corresponding to each slice is selected, this sub-range being chosen based on determining one or more sub-windows of visibility of a target anatomical object or event within the projection data sequence. The event may be a particular phase of a movement cycle of the anatomical body. The structure could be a particular portion of the anatomical body which is of interest. Either approach leads to reduction of motion artefacts within a single slice, by restricting the data range, and focusing upon the data which is most relevant clinically.

Abstract: The invention provides a method for determining a confidence value for an image segmentation. The method includes obtaining an image, wherein the image comprises a view of an anatomical structure and a model of the anatomical structure is obtained, wherein the model comprises a plurality of nodes. The image is processed to generate a plurality of image segmentation outputs, wherein each image segmentation output comprises a set of values for the view, wherein each value of the set of values is associated with a node of the plurality of nodes of the model. For each node of the model, a confidence value is determined based on the plurality of values corresponding to the node. A confidence map of the anatomical structure is generated based on the confidence value of each node.

Abstract: A mechanism for determining a score indicative of a success of a segmentation of a 3D image, i.e. a success score. The mechanism proposes to obtain one or more 2D images of different target views of a target object in the 3D image, by processing a segmentation result of the 3D image. (A view of) each 2D image is classified using an automated classifier. The classification results are used to determine a success score, which may indicate, for example, whether, or how closely, the 3D segmentation result represents a ground truth segmentation result with sufficient accuracy, e.g. for clinical decision making.

Abstract: The invention provides a method for refining a mapped surface mesh of a cardiac chamber. The method includes obtaining a mapped surface mesh of the cardiac chamber anatomy, wherein the mapped surface mesh comprises a central region representing a cardiac chamber and an outer region representing a peripheral cardiac structure connected to the cardiac chamber, and wherein the mapped surface mesh comprises a first view of an anatomical landmark within the cardiac chamber, and obtaining image data of a cardiac chamber anatomy of a subject. The central region of the mapped surface mesh is deformed based on a first segmentation algorithm configured according to one or more predetermined shape- constraints and the outer region of the mapped surface mesh is deformed based on a second segmentation algorithm configured according to the image data, thereby generating a deformed outer region. The deformed central region and the deformed outer region are then combined, thereby generating a refined mapped surface mesh.

Abstract: A control device for the synchronous control of at least two air distribution flaps (10, 12, 14, 16) of a heating and/or air-conditioning unit (HVAC unit) of a motor vehicle has at least one first adjustment mechanism for a first air distribution flap pair (14, 16). The first adjustment mechanism comprises a first adjustment lever (30), which is rotatable about an axis of rotation and which has a first and a second arm (34, 36) extending from the axis of rotation and each having a connecting point. The first adjustment mechanism also comprises two coupling rods (44, 46), which are coupled to the arms (34, 36) at the connecting points, two flap levers (48), which are coupled to the coupling rods (44, 46), and two rotary spindles, which are coupled to the flap levers (48), of the air distribution flaps (14, 16).