Koninklijke Philips Corporation N.v.

Philips Gmbh

Irina Waechter-Stehle

Frank Michael Weber

Christian Buerger

Arne Ewald

Juergen Weese

Jochen Peters

Tobias Wissel

Tobias Klinder

Sheng-Wen Huang

Emil George Radulescu

Sabine Mollus

Matthias Lenga

Rafael Wiemker

Cristian Lorenz

Ramon Quido Erkamp

Ivan Salgo

Shougang Wang

Rolf Jürgen Weese

Scott Holland Settlemier

Alexandra Groth

Martin Bergtholdt

David Prater

Thomas Heiko Stehle

Niels Nijhof

Jürgen Weese

Reinhard Kneser

Alexander Schmidt-Richberg

Robert Joseph Schneider

André Goossen, Sr

Sebastian Wild

Michael Grass

Thomas Buelow

Tim Nielsen

Jens Von Berg

Antonia Cornelia Van Rens

Eberhard Sebastian Hansis

Dirk Schaefer

Arjen Van Der Horst

Steffen Renisch

Axel Saalbach

Vincent Adrianus Henneken

Karsten Sommer

Jörg Sabczynski

Tim Philipp Harder

Helko Lehmann

Matthias Bertram

Ke Wang

Roland Wilhelmus Maria Bullens

Ronaldus Petrus Johannes Hermans

Sven Kroenke

Michael Daniel Cardinale

Michael Cardinale

Philippe Paul Mazouer

Christophe Michael Jean Schülke

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.

Ultrasound imaging method and system

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

A system (SYS) for supporting a medical procedure, comprising an interface (IN) for receiving at least one medical input signal that describes a state of a target anatomy. A signal analyzer (SA) is configured to analyze the medical input signal to determine a time window for deployment of a cardio-vascular device (CL) to be deployed by a deployment.

Signal-triggered interventional device control

An ultrasound imaging system having an image processor configured to receive at volume data resulting from a three-dimensional ultrasound scan of a body and to provide corresponding display data, an anatomy detector configured to detect a position and orientation of an anatomical object of interest within the volume data, a slice generator for generating a plurality of two-dimensional slices from the volume data, wherein the slice generator is configured to define respective slice locations based on the results of the anatomy detector for the anatomical object of interest so as to obtain a set of two-dimensional standard views of the anatomical object of interest, wherein the slice generator is further configured to define for each two-dimensional standard view which anatomical features of the anatomical object of interest are expected to be contained. An evaluation unit evaluates a quality factor for each of the two-dimensional slices.

3D ultrasound imaging system

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 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

The present invention relates to an ultrasound imaging system comprising:

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

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 apparatus includes an imaging probe and is configured for dynamically arranging presentation of visual feedback for guiding manual adjustment, via the probe, of a location, and orientation, associated with the probe. The arranging is selectively based on comparisons between fields of view of the probe and respective results of segmenting image data acquired via the probe. In an embodiment, the apparatus includes a sensor which guides a decision that acoustic coupling quality is insufficient, the apparatus issuing a user alert upon the decision.

Anatomically intelligent echochardiography for point-of-care

An imaging steering apparatus includes sensors and an imaging processor configured for: acquiring, via multiple ones of the sensors and from a current position (), and current orientation (), an image of an object of interest; based on a model, segmenting the acquired image; and determining, based on a result of the segmenting, a target position (), and target orientation (), with the target position and/or target orientation differing correspondingly from the current position and/or current orientation. An electronic steering parameter effective toward improving the current field of view may be computed, and a user may be provided instructional feedback () in navigating an imaging probe toward the improving. A robot can be configured for, automatically and without need for user intervention, imparting force () to the probe to move it responsive to the determination.

Imaging view steering using model-based segmentation

Growing community of inventors

Hamburg, Germany

Irina Waechter-Stehle