Abstract: A system for automatically actuating a hydraulic accumulator—useful for oil collection systems—capable of operation while maintaining a zero or near zero draw of electrical energy.

Abstract: The present invention relates to a support substructure for fastening a display tile to a support structure of a tiled display, the support substructure being characterized in that it is linked to the support structure by means of a first mechanism allowing movements of the display tile in a plane parallel to the nominal plane (XY) of the tiled display independently of the presence or absence of adjacent display tiles.

Abstract: An ultrasound system is disclosed comprising an ultrasound transducer array (100) comprising a plurality of ultrasound transducer cells (130), each of said cell having an independently adjustable position and/or orientation such as to conform an ultrasound transmitting surface of the cell to a region of a body and a controller (140). The controller is configured to register the respective ultrasound transducer cells by simultaneously operating at least two ultrasound transducer cells in a transmit mode in which the cells transmit distinguishable ultrasound signals and operating the remaining ultrasound transducer cells in a receive mode.

Abstract: A mechanism for generating a rendering of a left atrial appendage of a patient. The potential position of one or more interventional devices within the left atrial appendage is determined from model data that contains an anatomical model of the left atrial appendage. A rendering of the left atrial appendage is generated, from image data, and subsequently displayed. Visual parameters of the displayed rendering of the left atrial appendage are responsive to the determined potential position(s) for the one or more interventional devices.

Abstract: The present invention relates to an image processing apparatus for deriving multi-dimensional images of an object and an according system and method. The image processing apparatus comprises an interface configured to provide 3D image data of an object and to provide a sequence of images of the object. The image processing apparatus further comprises a processing unit configured to obtain a personalized 3D model of the object by applying a model-based segmentation to the 3D image data of the object and to adapt the personalized 3D model based on at least a part of the images of the sequence of images of the object.

Abstract: An ultrasound imaging system for acquiring ultrasound images of an anatomical feature of interest in a subject, comprising a controller operable by a user and configured to: process input ultrasound images to extract anatomical data; determine a set of constraints to be applied to the ultrasound images, the constraints being spatial, temporal and/or of image quality, derived from the extracted anatomical data and/or on user input; monitor the ultrasound images, as they are received, for determining their compliance with the determined constraints; and output an indication based on the determined compliance. The user can adapt the imaging process using the feedback of these indications, and can decide to stop the process based on satisfactory indications.

Abstract: A request is generated for verifiable claims that are related to services that a user is to provide to an entity that requests the services from the user. The request for the services is then provided to the requesting entity. The requested verifiable claims are then received from the requesting entity and are verified to determine that they are valid. If the received verifiable claims are valid, the user is authorized to provide the services to the requesting entity.

Abstract: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

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: An ultrasound imaging system comprises a display for displaying a received ultrasound image. A user interface is provided for receiving user commands for controlling the ultrasound imaging process, and it receives a user input which identifies a point or region of the displayed ultrasound image. An image depth is determined which is associated with the identified point or region and the imaging process is controlled to tailor the imaging to the identified point or region.

Abstract: An ultrasound imaging system is for determining stroke volume and/or cardiac output. The imaging system may include a transducer unit for acquiring ultrasound data of a heart of a subject (or an input for receiving the acquired ultrasound data), and a controller. The controller is adapted to implement a two-step procedure, the first step being an initial assessment step, and the second being an imaging step having two possible modes depending upon the outcome of the assessment. In the initial assessment procedure, it is determined whether regurgitant ventricular flow is present. This is performed using Doppler processing techniques applied to an initial ultrasound data set. If regurgitant flow does not exist, stroke volume is determined using segmentation of 3D ultrasound image data to identify and measure the volume of the left or right ventricle at each of end systole and end-diastole, the difference between them giving a measure of stroke volume.

Abstract: The present invention relates to a support substructure for fastening a display tile to a support structure of a tiled display, the support substructure being characterized in that it is linked to the support structure by means of a first mechanism allowing movements of the display tile in a plane parallel to the nominal plane (XY) of the tiled display independently of the presence or absence of adjacent display tiles.

Abstract: Disclosed herein is a medical system (100, 300) comprising a display (112) and a user interface (114). The execution of machine executable instructions (120) causes a processor (104) to: receive (200) three-dimensional medical image data (122) of an anatomical structure (128, 322); receive (202) a three-dimensional segmentation (124) with one or more reference locations (800); display (204) at least one two-dimensional slice (126) of the three-dimensional medical image data; render (206) a cross section (134) of the three-dimensional segmentation, provide (208) a control element (130) of the user interface that is configured for receiving a one-dimensional position of the at least one reference location along a predetermined one-dimensional path (806); receive (210) the one-dimensional position (137) from the control element; adjust (212) the three-dimensional segmentation (124) using the one-dimensional position; and update (214) the rendering of the cross section of the three-dimensional segmentation.

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: The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (210), past frames within a selection of frames of the raw image stream are considered, which past frames already underwent image processing. A current frame of the raw image stream (210) is compared to the past frames contained in the selection of frames, and that one of the past frames is identified that is most similar to the current frame. Overlay data from the identified past frame are chosen and assigned to the current frame. Thus, the current frame can be presented together with the assigned overlay data chosen from the most similar past frame and without the need to wait for the result of a computationally expensive and time-consuming image processing of the current frame.

Abstract: The invention provides an ultrasound processing unit. A controller (18) of the unit is adapted to receive ultrasound data of an anatomical region, for example of the heart. The controller processes the ultrasound data over a period of time to monitor and detect whether alignment of a particular anatomical feature (34) represented in the data relative to a field of view (36) of the transducer unit is changing over time. In the event that the alignment is changing, the controller generates an output signal for communicating this to a user, allowing a user to be alerted at an early stage to likelihood of misalignment and loss of imaging or measurement capability.

Abstract: The invention relates to a system and computer-implemented method for enabling correction of a segmentation of an anatomical structure in 3D image data. The segmentation may be provided by a mesh which is applied to the 3D image data to segment the anatomical structure. The correction may for example involve a user directly or indirectly selecting a mesh part, such as a mesh point, that needs to be corrected. The behaviour of the correction, e.g., in terms of direction, radius/neighbourhood or strength, may then be dependent on the mesh normal direction, and in some embodiments, on a difference between the mesh normal direction and the orientation of the viewing plane.

Abstract: The presentation of a verifiable credential that is represented within a data structure that represents the verifiable credential as well as usage data of the verifiable credential. The usage of the verifiable credential is monitored, such that as usage of the verifiable credential changes or progresses, the stored usage data also changes. This data structure may be used to not only cause visual representations of the verifiable credential to be displayed to the user, but the user can selectively cause at least some of that usage data to also be presented to the user. Thus, the user can easily keep track of how their verifiable credential is being used, regardless of where or from which device the verifiable credential is presented.

Abstract: A mechanism for creating/synthesizing realistic training data, for training a machine-learning model, using anatomical knowledge. An anatomical model can be obtained. Information from annotated training data entries (i.e. “ground truth” information), can be used to model the anatomical variation, from the obtained model, in the population of the training data. This anatomical model can then be modified, e.g. incorporating some random factors, in order to generate one or more augmented models of realistic anatomies. The augmented anatomy is then transferred from the model domain to the data entry domain to thereby generate a new data entry or data entries for training a machine-learning model. This latter process can be achieved in various ways, e.g. using GANs, such as CycleGANs and label images, or deformation vector fields.

Abstract: An ultrasonic diagnostic imaging system has a user control by which a user positions the user's selection of a heart chamber border in relation to two myocardial boundaries identified by a deformable heart model. The user's border is positioned by a single degree of freedom control which positions the border as a function of a single user-determined value. This overcomes the vagaries of machine-drawn borders and their mixed acceptance by clinicians, who can now create repeatably-drawn borders and exchange the control value for use by others to obtain the same results.