Koninklijke Philips Corporation N.v.

Hrishikesh Narayanrao Deshpande

Tim Philipp Harder

Thomas Buelow

Axel Saalbach

Tanja Nordhoff

Rafael Wiemker

Heinrich Schulz

Steffen Renisch

Alfonso Agatino Isola

Sven Kabus

Rolf Jürgen Weese

Christoph Neukirchen

Tom Brosch

Olga Starobinets

Maria Luiza Bondar

Stéphane Allaire

Thomas Koehler

Stewart Young

Jens Wiegert

André Goossen, Sr

André GOOßEN

Christopher Brian Martel

A computer implemented method of making a measurement associated with a feature of interest in an image. The method comprises using () a model trained using a machine learning process to take the image as input and predict a pair of points between which to make the measurement of the feature of interest in the image. The method then comprises determining () the measurement, based on the predicted pair of points.

Making measurements in images

When performing an imaging scan on a patient, x-ray tube currents are modulated as the scan is performed. The x-ray tube current values and modulations may be recorded and accessed. The accessed values may be processed to generate overlays and displays for identifying patient and diagnostic device issues.

Systems and methods for processing and visualizing tube current modulations in medical imaging devices

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

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

A system for reviewing a prior medical image and a related prior medical report, including: a plurality of measurement tools configured to: receive an input medical image and information regarding a medical finding; analyze the input medical image to determine a measurement relating to the medical finding; and output the measurement relating to the medical finding; a report analyzer configured to: receive the prior medical report; analyze the prior medical report to extract first information regarding a first medical finding described in the medical report; select a first measurement tool of the plurality of measurement tools to analyze the prior medical image based upon the first extracted information; and output the first extracted information to the first measurement tool, wherein the first measurement tool analyzes the prior medical image to produce a first updated measurement of the first medical finding and the first measurement tool analyzes a new medical image associated with the prior medical image to produce a new first measurement of the first medical finding; a report generator configured to receive the new first measurement and to produce a new report based upon the new first measurement.

Guided reviews of prior exams and reports

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 assisting in evaluating a contour of an anatomic structure () with respect to a dose distribution corresponding to a treatment plan for a radiation therapy treatment of a patient. The system comprises an evaluation unit particularly configured to evaluate the dose distribution in varying distances from the contour of the anatomic structure () to determine at least one point where the evaluated dose distribution fulfills a predetermined condition, and to determine the distance between the at least one point and the contour and/or to visualize the at least one point to a user of the system.

Evaluation of an anatomic structure with respect to a dose distribution in radiation therapy planning

The invention relates to a system and a method for evaluating a treatment plan for an external radiation therapy treatment, the treatment plan comprising parameters for controlling an external radiation therapy apparatus during the treatment. The system comprises a database storing historic treatment plans and storing for each historic treatment plan a quality parameter indicative of whether a deviation between a planned dose distribution and a measured dose distribution resulting from an execution of the treatment plan is within an acceptable limit. An evaluation unit determines a threshold value for each of a plurality of treatment plan metrics based on the historic treatment plans and the associated quality parameters. Further, the evaluation unit calculates a value of each of the metrics for the treatment plan and compares the value of each of the metrics with the threshold value determined for the respective metric.

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Hamburg, Germany

Hrishikesh Narayanrao Deshpande