Koninklijke Philips Corporation N.V.

Tanja Nordhoff

Thomas Buelow

Tim Philipp Harder

Hrishikesh Narayanrao Deshpande

Stewart Young

Thomas Erik Amthor

Joachim Schmidt

Olga Starobinets

Thomas Koehler

Rafael Wiemker

Tobias Klinder

Axel Saalbach

Ingmar Graesslin

Karsten Sommer

Jörn Borgert

Tom Brosch

Chenguang Zhao

Liqin Wang

Yajing Zhang

Jan-Hendrik Buhk

An apparatus () for use in conjunction with a medical imaging device () having an imaging device controller () that displays a graphical user interface (GUI) () including a preview image viewport (). The apparatus includes at least one electronic processor () programmed to: receive a video feed () of the GUI displayed on the imaging device controller; extract a preview image () displayed in the preview image viewport from the live video feed of the GUI; perform an image analysis () on the extracted preview image to detect one or more image features () indicative of one or more potential problems associated with a medical imaging examination performed with the medical imaging device; and output an alert () when one or more potential problems associated with the medical imaging examination is detected from the one or more image features.

Instant scout scan checker

A method () of controlling a user interface (UI) provided by a remote operator workstation of a remote expert (RE) providing assistance to local operators (LO) of respective medical imaging devices () during a medical imaging examination includes: analyzing signal feeds () received by a feed aggregator () to detect events occurring in workspaces of the local operators; identifying a highest priority event from amongst the detected events using an event prioritization mapping; identifying a highest priority local operator as the local operator in whose workspace the highest priority event occurred; selecting a highest priority UI view corresponding to the highest priority event using the event-to-UI view mapping; and presenting information derived from the signal feeds from the workspace of the highest priority local operator in accordance with the highest priority UI view.

Event-controlled view selection

An apparatus () for providing image quality feedback during a medical imaging examination includes at least one electronic processor () programmed to: receive a live video feed () of a display () of an imaging device controller () of an imaging device () performing the medical imaging examination; extract a preview image () from the live video feed; perform an image analysis () on the extracted preview image to determine whether the extracted preview image satisfies an alert criterion; and output an alert () when the extracted preview image satisfies the alert criterion as determined by the image analysis.

Systems and methods for immediate image quality feedback

An apparatus (), for use in conjunction with a medical imaging device () having an imaging device controller () that displays a graphical user interface (GUI) () including a preview image viewport (), includes at least one electronic processor () programmed to: perform an image analysis () on a preview image displayed in the preview image viewport to generate preview-derived image label information; extract GUI-derived image label information from the GUI excluding the preview image displayed in the preview image viewport; and output an alert () when the preview-derived image label information and the GUI-derived image label information are not consistent.

Real-time digital imaging and communication in medicine (DICOM) label checker

The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.

System and method for assessing a pulmonary image

The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject () using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

Method for enabling magnetic resonance imaging of a subject

The present invention relates to a device and method for quality assessment of medical image datasets. To enable an automatic quality assessment of medical image datasets to identify potential errors or deviations that may be avoided in future imaging operations, the device comprises an image input () for obtaining medical image datasets together with respective acquisition information, each medical image dataset being acquired by scanning a field of view, FOV, of an examination object and the respective acquisition information representing information related to the acquisition of the respective medical image dataset; an image analysis unit () for comparing the FOV of an obtained medical image dataset with a reference FOV and for determining difference information indicating deviations of the FOV from the reference FOV; a correlation unit () for determining correlation information indicating correlations between the difference information determined for a plurality of obtained medical image datasets and the respective acquisition information; and an output unit () for issuing the determined correlation information.

Device and method for quality assessment of medical image datasets

The present invention relates to device, system and method for verifying image-related information of a medical image. In order to assure the correctness of the image-related information of the medical image the device comprises an image input () for obtaining a medical image and associated image-related information, a translator () for translating one or more pieces of image-related information into expected anatomical feature information, a detector () for searching the expected anatomical feature information in the obtained medical image or for detecting one or more given anatomical features in the obtained medical image and comparing them with the expected anatomical feature information, an evaluator () for evaluating the result of the detector to generate a consistency measure indicating the consistency of the image-related information with the associated medical image, and an output interface () for outputting an inconsistency indication if the generated consistency measure is lower than a predetermined consistency threshold.

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Hamburg, Germany

Tanja Nordhoff