Abstract: A rearview assembly for a vehicle is provided that includes: a housing; a rearview element configured to display images of a scene to the rear of the vehicle, the rearview element disposed in the housing; a circuit board mounted in the housing behind the rearview element, the circuit board having a substantially planar surface and a peripheral edge; and a capacitive touch zone on a surface of the housing, the capacitive touch zone comprising a conductive component mounted to the circuit board, wherein the conductive component comprises a first portion mounted to the planar surface of the circuit board and a second portion extending beyond the peripheral edge of the circuit board at an angle to the planar surface.

Abstract: A coated article including a first antireflective (AR) coating supported by a glass substrate, wherein the first coating may include, moving away from the glass substrate: a dielectric first high index layer; a dielectric first low index layer; a dielectric second high index layer; a dielectric second low index layer comprising an oxide of silicon; a dielectric third high index layer comprising an oxide of niobium; a dielectric first medium index layer, wherein the third high index layer comprising the oxide of niobium is located between and directly contacting the second low index layer comprising the oxide of silicon and the first medium index layer; a dielectric third low index layer; and an overcoat layer; wherein the first coating contains no IR reflecting layer based on silver and/or gold; wherein, from the perspective of a viewer of the coated article, the first coating may be configured so that the coated article has a film side reflective ?E* value of no greater than 3.

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: 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 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: 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 anchor rail for fixing fasteners includes a first rail part and a second rail part which are connected to one another and on each of which anchor webs are formed, wherein a channel-shaped receptacle for a head section of a fastening means is formed between a first wall of the first rail part and a second wall of the second rail part, and an inwardly projecting web is provided on the first wall and an inwardly projecting web is provided on the second wall, and the inwardly projecting webs overlap the channel-shaped receptacle at the edge side. An outwardly projecting support web projects at least in sections on the first wall and/or the second wall opposite the inwardly projecting web. A method for producing an anchor rail which can absorb particularly high forces includes forming the inwardly and outwardly projecting webs from strip-shaped blanks welded to the first and second rail parts.

Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.

Abstract: An anchoring element for casting in concrete has an anchor rail having a plurality of anchor protrusions and a strip-shaped receptacle for mounting fastening elements. At least one retaining bracket is fixed to the anchor rail, which engages over the anchor rail perpendicularly to its longitudinal direction and by means of which the anchor rail can be fixed to a formwork component. At least one flange projecting laterally from the anchor rail is formed on the retaining bracket.

Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.

Abstract: The invention relates to a segmentation system for segmenting an object in an image. The segmentation system is configured to place a surface model comprising surface elements within the image, to determine for each surface element a respective sub volume (6) of the image and to use a neural network (51) for determining respective distances between the surface elements and the boundary of the object in the image based on the determined subvolumes. The surface model is then adapted in accordance with the determined distances, in order to segment the object. This segmentation, which is based on the subvolumes of the image and the neural network, is improved in comparison to known techniques which rely, (10) for instance, on a sampling of candidate points along lines being perpendicular to the respective surface element and on a determination of likelihoods for the candidate points that they indicate a boundary of the object.

Abstract: Slice alignment approaches are described for short axis cardiac magnetic resonance cine slice stacks, which do not require additional scans, such as long axis scans or full 3D scans, and which are able to deal with cardiac structures having complex shapes. Both approaches do not need contours to follow a quadratic curvature function, and are well suitable for the purpose of obtaining a segmentation of a cardiac structure using a deformable surface model. Namely, such a deformable surface model is unable, but also not desired, to fully adapt to the ‘zig-zag’-shaped pattern in the boundary of the cardiac structure due to the slice misalignment. Having removed or reduced the misalignment between image slices, such a deformable surface model may better adapt to the cardiac structure in the image data and 10 thereby provide a better segmentation of the cardiac structure.

Abstract: There is provided a method and apparatus for refining a model of an anatomical structure in an image. A model for the anatomical structure in the image is acquired. The model comprises a plurality of control points, each control point corresponding to a feature in the anatomical structure. The model is placed in the image with respect to the anatomical structure. Based on a user input received to adjust the model in the image, a position of at least one of the plurality of control points is adjusted to alter a shape of the model to the anatomical structure in the image, wherein adjustment of the position of one or more of the at least one control points is restricted based on information relating to the at least one control point.

Abstract: The invention provides for a method for switching between fields of view of an ultrasound probe. The method begins by obtaining an anatomical model representing a region of interest of a subject and establishing a first field of view relative to an ultrasonic probe, wherein the first field of view comprises an initial portion of the region of interest. Ultrasound data is then obtained from the first field of view by way of the ultrasonic probe and a first anatomical feature is identified within the first field of view based on the ultrasound data. A location in digital space of the first field of view relative to the anatomical model is determined based on the first anatomical feature. A second field of view is then established based on the anatomical model and the first field of view, wherein the first field of view functions as a reference field of view. The field of view is then switched from the first field of view to the second field of view.

Abstract: The invention provides for a medical imaging system (100, 300, 400) comprising a memory (110) containing machine executable instructions (120) and a processor (106). Execution of the machine executable instructions cause the processor to: receive (200) a magnetic resonance image (300), receive (202) meta data descriptive of the magnetic resonance image, wherein the metadata comprises reference gray scale value data (124) for two or more tissue types; and segment (204) the magnetic resonance image using an image segmentation algorithm (126) that uses the reference gray scale value data.

Abstract: The invention relates to a method for weighing pharmaceutical containers (10) nested in a carrier (11), in which at least one of the nested containers (10) is weighed by means of a weighing device (1), wherein a relative movement between the at least one pharmaceutical container (10) and the carrier (11) is brought about in order to release the pharmaceutical containers (10) from the carrier (11) in order to increase the weighing accuracy.

Abstract: There is provided a method and apparatus for refining a model of an anatomical structure in an image. A model for the anatomical structure in the image is acquired. The model comprises a plurality of control points, each control point corresponding to a feature in the anatomical structure. The model is placed in the image with respect to the anatomical structure. Based on a user input received to adjust the model in the image, a position of at least one of the plurality of control points is adjusted to alter a shape of the model to the anatomical structure in the image, wherein adjustment of the position of one or more of the at least one control points is restricted based on information relating to the at least one control point.