Koninklijke Philips Corporation N.v.

Fei Comapny

Koninklijke Philips Electronics N.v.

Thomas Netsch

Daniel Bystrov

Stewart Young

Eberhard Sebastian Hansis

Jörn Borgert

Thomas Erik Amthor

Julien Senegas

Fabian Wenzel

Sebastian Peter Michael Dries

Michael Günter Helle

Martin Bergtholdt

Vladimir Pekar

Michael Kaus

Axel Saalbach

Peter Mazurkewitz

Tim Philipp Harder

Joachim Schmidt

Christian Adrian Cocosco

Thomas Koehler

Juergen Weese

Cristian Lorenz

Frank Michael Weber

Falk Uhlemann

Kirsten Regina Meetz

Ingmar Graesslin

Nicole Schadewaldt

Hermann Schomberg

Michael Gunter Helle

Astrid Ruth Franz

Ingwer Curt Carlsen

Georg Rose

Kerstin Stockmeier

Marco Henricus Maria Janssen

Heiner Gunnar Konrad Lund

Alexander Stork

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

When acquiring detailed utilization information from imaging equipment in a cross-vendor approach, one or more sensors () are positioned within a data security zone () in which an imaging procedure is performed. Sensor data is pre-processed on an isolated processing unit () to remove any sensitive information and keep a selection of features only. The resultant feature pattern is transmitted outside of the data security zone to a processing unit () where pattern recognition is performed on feature pattern to identify the type of imaging modality, scan, etc. being performed as well as to determine whether the scan is being performed according to schedule.

Cross-vendor cross-modality imaging workflow analysis

An apparatus () for generating a training set of anonymized images () for training an artificial intelligence (AI) component () from images () of a plurality of persons. The apparatus includes at least one electronic processor () programmed to: spatially map the images of the plurality of persons to a reference image () to generate images () in a common reference frame; partition the images in the common reference frame into P spatial regions () to generate P sets of image patches () corresponding to the P spatial regions; assemble a set of training images () in the common reference frame by, for each training image in the common reference frame, selecting an image patch from each of the P sets of image patches and assembling the selected image patches into the training image in the common reference frame; and process the training images in the common reference frame to generate the training set of anonymized images including applying statistical inverse spatial mappings to the training images in the common reference frame, wherein the statistical inverse spatial mappings are derived from spatial mappings () of the images of the plurality of persons to the reference image.

Anatomical encryption of patient images for artificial intelligence

To obtain feedback on image quality from qualified reviewers, an optically machine readable code () (e.g., a QR code or the like) is generated for each acquired medical image and embedded into the image. The embedded code includes information to the identity of the image, the imaging device, authorized reviewers, and authorized recipients of the feedback, as well as a link to a feedback form that can be retrieved by a communication device () used by an authorized user. When the embedded code is scanned by the communication device, the code is decoded and the feedback form is retrieved from a server, completed by the reviewer, and transmitted back to the authorized recipients of the feedback.

Quality feedback system for medical images

Some embodiments are directed to a container builder () for building a container image for providing an individualized network service based on sensitive data () in a database (). The container builder () retrieves the sensitive data () from the database (), builds the container image (), and provides it for deployment to a cloud service provider (). The container image () comprises the sensitive data () and instructions that, when deployed as a container, cause the container to provide the individualized network service based on the sensitive data () comprised in the container image ().

Container builder for individualized network services

The present disclosure relates to a method for configuring a medical device. The method comprises: providing a set of one or more parameters for configuring the medical device. Each parameter of the set has predefined values. A set of values of the set of parameters may be selected from the predefined values. Using the selected values the set of parameters may be set, which results in an operational configuration of the medical device. The medical device may be controlled to operate in accordance with the operational configuration, thereby an operating status of the medical device may be determined. Based on at least the operating status the operational configuration may be maintained or the selecting, setting and controlling may be repeatedly performed until a desired operating status of the medical device can be determined based on the operating statuses resulting from the controlling.

Method for configuring a medical device

A medical imaging system for acquiring medical image data from an imaging zone. The medical imaging system includes a memory for storing machine executable instructions and medical imaging system commands. The medical imaging system further includes a user interface and a processor. Execution of the machine executable instructions causes the processor to: receive scan parameter data for modifying the behavior of the medical imaging system commands; receive metadata descriptive of imaging conditions from the user interface; store configuration data descriptive of a current configuration of the medical imaging system in the memory; calculate an error probability by comparing the metadata, the configuration data, and the scan parameter data using a predefined model, wherein the error probability is descriptive of a deviation between the metadata and between the configuration data and/or the scan parameter data; perform predefined action if the error probability is above a predetermined threshold.

Automated consistency check for medical imaging

A device () for editing an electronic medical record (EMR) is provided. The device includes a mobile device () including a touch-sensitive display (), a communication link (), and at least one electronic processor () programmed to cause the mobile device to perform an EMR data entry method. The method includes: displaying a medical document () on the touch-sensitive display: overlaying an EMR data entry fillable form () having user-editable fields () on the touch-sensitive display as a partially transparent overlay () superimposed on the displayed medical document; transferring text content () from the medical document into at least one of the user-editable fields of the overlaid EMR data entry fillable form; and after filling out the overlaid EMR data entry fillable form by operations including at least the transferring, uploading at least the content of the user-editable fields of the filled out EMR data entry fillable form to an EMR () via the wireless communication link.

Intelligent electronic data capture for medical patient records

The invention provides for a magnetic resonance imaging system () for acquiring magnetic resonance data () from an imaging zone (). The magnetic resonance imaging system comprises: a memory () for storing initial pulse sequence commands () and machine executable instructions (); and a processor () for controlling the magnetic resonance imaging system. Execution of the machine executable instructions causes the processor to receive () a set of selected pulse sequence parameters () comprising a definition of a region of interest () of a subject (). The region of interest is within the imaging zone. Execution of the machine executable instructions further causes the processor to send () an image data request to a historical database (). The image data request comprises the set of selected pulse sequence parameters. Execution of the machine executable instructions further causes the processor to receive () historical image data () from the historical database in response to the image data request. The historical database comprises multiple image data entries. Each image data entry comprises a set of historical pulse sequence parameters (). The historical database is configured to search the historical database to retrieve the historical image data by matching the set of selected pulse sequence parameters to the set of historical pulse sequence parameters. Execution of the machine executable instructions further causes the processor to display () at least a portion () of the historical image data on a user interface. Execution of the machine executable instructions further causes the processor to receive () scan input modifications () in response to displaying the at least a portion of the historical image data on the user interface. Execution of the machine executable instructions further causes the processor to generate () modified pulse sequence commands () using the initial pulse sequence commands, the set of selected pulse sequence parameters, and the scan input modifications. Execution of the machine executable instructions further causes the processor to control () the magnetic resonance imaging system to acquire the magnetic resonance data using the modified pulse sequence commands.

Modification of MRI pulse sequence parameters using a historical database

A method and related system for supporting task scheduling. Completion times of tasks of a process are predicted based on historical data held in a database (HIS). Based on the predictions, a workload measure for a resource associated with performing the task is computed. Also, there is established whether the predicted completion times will result in overshooting predefined due-dates as held in a rules database (DB-REG). The work load measure and/or the overshoot is indicted as graphical indicators in a graphical user interface (GUI). The workload measure and/or the overshoot indicators are computed and displayed in real-time.

Method and apparatus for supporting task scheduling in a radiation therapy workflow via prediction of critical workload

Cache controller () for use in a system () comprising an image client () and an image server (), the image client enabling a user to navigate through image data having at least three spatial dimensions by displaying views of the image data that are obtained from the image server in dependence on navigation requests of the user, and the cache controller comprising a processor () configured for obtaining content data indicative of a content shown in a current view of the image client (), the current view representing a first viewpoint in the three spatial dimensions of the image data, the processor being further configured for predicting a view request of the image client in dependence on the content data, the view request corresponding to a view representing a second viewpoint in the three spatial dimensions of the image data, and a communication means () for obtaining the view from the image server in dependence on the view request, and for caching the view in a cache ().

Image content based prediction and image cache controller

A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.

Scan region determining apparatus

Image processing apparatusfor processing a medical image, comprising an inputfor obtaining the medical imageand medical data, the medical image constituting a field of view in three-dimensional [3D] patient data, and the medical data showing an anatomical context of a content of the field of view, an outputfor providing an output imagecomprising the medical image and a visualization of the medical data, the medical data constituting non-patient specific medical data, and the imaging processing apparatus further comprising a processorfor (i) performing an image alignment between the medical image and the medical data for obtaining a transformation providing a position of the content with respect to its anatomical context, and (ii) using the transformation for establishing a graphical representation of the field of view in the visualization of the medical data at said position.

Image processing apparatus

The invention relates to a scan region determining apparatus () for determining a scan region of a subject to be scanned by a scanning system () like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.

A system () for displaying a multi-dimensional image and an annotation located therein, the system comprising receiving means () for receiving: the multi-dimensional image, the annotation, and representation data associated with the annotation, the representation data being indicative of a preferred representation of the multi-dimensional image and the annotation located therein; display means () for displaying an initial representation () of the multi-dimensional image and the annotation located therein; input means () for enabling a user to provide a visualization request when the initial representation shows at least a first part () of the annotation; and the display means () being arranged for, after receiving the visualization request, displaying the preferred representation () of the multi-dimensional image and the annotation located therein in accordance with the representation data, the preferred representation showing at least a second part () of the annotation, the second part being different from the first part.

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Hamburg, Germany

Thomas Netsch