Koninklijke Philips Corporation N.v.

Philips Gmbh

Frank Michael Weber

Irina Waechter-Stehle

Jochen Peters

Arne Ewald

Tobias Wissel

Christian Buerger

Juergen Weese

Thomas Heiko Stehle

Matthias Lenga

Balasundar Iyyavu Raju

Rolf Jürgen Weese

Niels Nijhof

Scott Holland Settlemier

Peter Bingley

Jonathan Thomas Sutton

Alexandra Groth

David Prater

Alexander Schmidt-Richberg

Robert Joseph Schneider

André Goossen, Sr

Irina Wachter-Stehle

Tilman Wekel

Sebastian Wild

Michael Grass

Rafael Wiemker

Shyam Bharat

Tobias Klinder

Tim Nielsen

Antonia Cornelia Van Rens

Eberhard Sebastian Hansis

Thomas Netsch

Arjen Van Der Horst

Steffen Renisch

Vincent Adrianus Henneken

Jörg Sabczynski

Karsten Sommer

Hannes Nickisch

Hans Barschdorf

Roland Wilhelmus Maria Bullens

Ke Wang

Rolf Jurgen Weese

Arthur Bouwman

Michael Daniel Cardinale

Michael Cardinale

Philippe Paul Mazouer

Erik Korsten

Christophe Michael Jean Schülke

Alexander Groth

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.

Systems and methods for medical imaging

An image analysis method and device is for detecting failure or error in an image segmentation procedure. The method comprises comparing () segmentation outcomes for two or more images, representative of a particular anatomical region at different respective time points, and identifying a degree of consistency or deviation between them. Based on this derived consistency or deviation measure, a measure of accuracy of the segmentation procedure is determined ().

Image analysis method and device

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.

Data augmentation for a machine learning method

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.

Methods and systems for cardiac chamber imaging

The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (), 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 () 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.

Latency compensation for image processing devices

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.

Mesh correction depending on mesh normal direction

The invention relates to an ultrasound system for imaging a volumetric region comprising a region of interest (ROI). The system comprises a probe; an ultrasound wave controlling unit adapted to control ultrasound wave transmission and provide ultrasound image data of the volumetric region; an image processor; and a ROI identifier, which is adapted to generate identification data indicating the ROI within the volumetric region; wherein the ultrasound wave transmission is configurable by a plurality of use cases in response to respective identifiers of said use cases, each use case being associated with a particular imaging procedure and comprising an anatomical model for said imaging procedure; and wherein the ROI identifier is configurable by the respective anatomical models of said use cases. A method of configuring such an ultrasound system is also disclosed.

Intelligent ultrasound system

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.

Methods and systems for adjusting the field of view of an ultrasound probe

An ultrasound control unit () is for coupling with an ultrasound transducer unit (). The control unit is adapted to control a drive configuration or setting of the transducers of the transducer unit, each drive setting having a known power consumption level associated with it. The control unit includes a control module () adapted to adjust the drive setting from a first setting to a second setting, the second having a lower associated power consumption that the first. The second setting is tested by an analysis module (), the analysis module adapted to determine a measure of reliability of ultrasound data acquired by the transducer unit, for the purpose of deriving at least one physiological parameter, when configured in the second setting. The second setting is only used if its determined reliability passes a pre-defined reliability condition.

Ultrasound control unit

A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.

Real time ultrasound imaging method and system using an adapted 3D model to perform processing to generate and display higher resolution ultrasound image data

An ultrasound system is disclosed comprising an ultrasound transducer array () comprising a plurality of ultrasound transducer cells (), 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 (). 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. The controller extracts time-of-flight information of the respective ultrasound signals between transmitter and receiver and by systematically selecting different ultrasound transducer cells as transmitters, the controller collects sufficient time-of-flight information from which the respective position and/or relative orientation of the ultrasound transducer cells within the ultrasound transducer array may be derived. A method for operating the ultrasound system in this manner as well as a computer program product is also disclosed.

Ultrasound system, method and computer program product

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.

Method and system for dynamic multi-dimensional images of an object

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.

Ultrasound imaging system and method

A system () and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data () is provided defining computer-readable criteria for limiting a selection of medical image data () 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 () 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.

Medical data collection for machine learning

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.

Ultrasound imaging system and method for deriving depth and identifying anatomical features associated with user identified point or region

Growing community of inventors

Hamburg, Germany

Frank Michael Weber