Koninklijke Philips Corporation N.v.

U.S. Philips Corporation

University of Colorado

Koninklike Philips N.v.

Philips Intellectual Property & Standards Gmbh

Michael Grass

Thomas Koehler

Roland Proksa

Dirk Schaefer

Christian Haase

Holger Schmitt

Eberhard Sebastian Hansis

Volker Rasche

Raoul Florent

Robert Manzke

Arjen Van Der Horst

Tobias Klinder

Hanno Heyke Homann

Hannes Nickisch

Klaus Erhard

Sven Prevrhal

Thomas Köhler

Rolf Dieter Bippus

Dirk Schäfer

Romane Isabelle Marie-Bernard Gauriau

Peter Maria Johannes Rongen

Javier Olivan Bescos

Andy Ziegler

Roland Wilhelmus Maria Bullens

Thomas Buelow

Cristian Lorenz

Tim Nielsen

Bernhard Johannes Brendel

Christian Buerger

Claas Bontus

Udo Van Stevendaal

Bram Antonius Philomena Van Rens

Bernardus Hendrikus Wilhelmus Hendriks

Ewald Roessl

Raymond C Chan

Peter Forthmann

Axel Thran

Niels Nijhof

Bernhard Gleich

Michael Harald Kuhn

Drazenko Babic

Robert Johannes Frederik Homan

Kevin Martin Brown

Sven Kabus

Christian Lorenz

Joerg Sabczynski

Frank Bergner

Vincent Maurice André Auvray

Odile Bonnefous

Thomas Heiko Stehle

Harold Agnes Wilhelmus Schmeitz

Tobias Wissel

Babak Movassaghi

Marco Verstege

Juergen Erwin Rahmer

Thirukumaran Thangaraj Kanagasabapathi

Gereon Vogtmeier

Sascha Krueger

Jens Von Berg

Stewart Young

Liran Goshen

Julien Senegas

Irina Waechter-Stehle

Dominic J Heuscher

Heinrich Schulz

Frank Michael Weber

Johannes J Van Vaals

Heiner Daerr

Peter Koken

Waltherus Cornelis Jozef Bierhoff

Axel Saalbach

Rainer Pietig

Alfonso Agatino Isola

Bernd R David

Jörg Sabczynski

Heidrun Steinhauser

Klaus Juergen Engel

Jens-Peter Schlomka

Alberto Fazzi

Neriman Nicoletta Kahya

Herman Stegehuis

Mordechay Pinchas Freiman

Andreas Goedicke

Jan Timmer

Daniel Simon Anna Ruijters

Erik Martinus Hubertus Petrus Van Dijk

Ronaldus Frederik Johannes Holthuizen

Vincent Maurice Andre Auvray

Tom Brosch

Peter George Van De Haar

Sander Hans Denissen

Bernd Menser

Yechiel Lamash

Torbjorn Vik

David Sowards-Emmerd

Erik Rene Kieft

Vishnu Vardhan Pully

Charles Nortmann

Marco Andreas Jacobus Van As

Franciscus Marinus Antonius Maria Van Gaal

A computer-implemented method of measuring a blood flow parameter in a vasculature, is provided. The method includes: analyzing spectral CT projection data to isolate from the spectral CT projection data, contrast agent projection data representing the flow of the injected contrast agent; sampling the contrast agent projection data at one or more regions of interest in the vasculature to provide temporal blood flow data at the one or more regions of interest; and calculating, from the temporal blood flow data, a value of one or more blood flow parameters at the one or more regions of interest.

Measurement of blood flow parameters

Perfusion data is generated from imaging a tissue of interest. The perfusion data includes image data of a contrast agent passing through the tissue of interest. A remote photoplethysmography (PPG) device is configured to focus on a patient's area at or near the tissue of interest. The PPG device is located on a gantry and remains stationary when an X-ray source rotates during a scanning operation. The PPG device is coupled to at least one processor and a memory for storing a remote PPG software. The at least one processor is configured to execute the remote PPG software to determine, based on skin color variations due to changing blood flow conditions, at least one blood pulsation parameter within a beam projecting on the tissue of interest. The blood pulsation parameter includes a phase of a cardiac cycle. The at least one processor is further configured to execute the remote PPG software to determine at least one perfusion-pulsation parameter based on the perfusion data and the blood pulsation parameter. The perfusion-pulsation parameter includes the perfusion data tagged with the phase of the cardiac cycle in which the perfusion data is acquired.

Perfusion imaging

A computed tomography imaging system () includes an X-ray radiation source () configured to emit X-ray radiation that traverses an examination region () and an X-ray radiation sensitive detector array () configured to detect X-ray radiation traversing the examination region and generate a view of line integrals. The imaging system further includes a subject support table top () configured to translate in the examination region for a scan based on at least one scan parameter. The imaging system further includes an operator console (), which includes a processor () and computer readable storage medium () with a scan parameter adapter module (). The processor is configured to execute instructions of the scan parameter adapter module, which causes the processor to determine a contrast agent concentration from the view of line integrals and adjust the at least one scan parameter based on the determined concentration.

Scan parameter adaption during a contrast enhanced scan

A method and apparatus for analyzing diagnostic image data are provided in which correspondence detection between a first diagnostic image and a second diagnostic image of a vessel of interest in a patients vasculature is performed on the basis of at least one functional parameter by matching the one or more values of said functional parameter at particular positions along the vessel of interest as shown in the first diagnostic image and the second diagnostic image to one another, thereby determining a correlation between the positions in the basis of said functional parameter values rather than solely the vessel geometry.

Vessel registration using functional information

In a conventional system for preparing reports on findings in medical images, the actual formulation of the report is not or only insufficiently supported by the computer-based system. Although there are efforts to improve such a system through automatic reporting, however, in previous systems, the error rate is too high and/or the operation of the system too complicated. This application proposes to provide text prediction to a user on the display device. The text prediction is based on prior analyzing the image content of a medical image at is displayed to the user at least when the user activates a text field shown on the display device via the input unit. The displayed text prediction is selected from a pre-defined set of text modules that are associated to the analysis result.

Automatic diagnosis report preparation

The invention refers to an apparatus that allows to improve the image quality of nuclear images, e.g. PET images. The apparatus () comprises a providing unit () for providing nuclear image data of a region of interest, a providing unit () for providing a motion signal indicative of a motion of the region of interest, a determination unit () for determining different motion states of the region of interest based on the motion signal, a determination unit () for determining for each motion state nuclear image data corresponding to the motion state, a reconstruction unit () for reconstructing an absorption map for each motion state based on the corresponding nuclear image data of the respective motion state, and a reconstruction unit () for reconstructing one or more nuclear images of the region of interest based on the nuclear image data and the absorption maps reconstructed for each motion state.

Apparatus, system, method and computer program for providing a nuclear image of a region of interest of a patient

The present invention relates to an apparatus () for correcting computer tomography ('CT') X-ray data acquired at high relative pitch, the apparatus comprising: an input unit (); a processing unit (); and an output unit (). The input unit is configured to provide the processing unit with CT X-ray data of a body part of a person acquired at high relative pitch. The processing unit is configured to determine CT slice reconstruction data of the body part of the person with no or reduced high relative pitch operation reconstruction artefacts using a machine learning algorithm. The machine learning algorithm was trained on the basis of CT slice reconstruction data, and wherein the CT slice reconstruction data comprised first CT slice reconstruction data with high relative pitch reconstruction artefacts and comprised second CT slice reconstruction data with less, less severe, or no high relative pitch reconstruction artefacts. The output unit is configured to output the CT slice reconstruction data of the body part of the person.

Apparatus for computer tomography X-ray data acquired at high relative pitch

A method and apparatus for analyzing diagnostic image data are provided in which a plurality of acquisition images of a vessel of interest having been acquired with a pre-defined acquisition method is received at a trained classifying device and classified, by the classifying device, to extract at least one quantitative feature of the vessel of interest from at least one acquisition image of the plurality of acquisition images. The at least one quantitative feature is then output associated with the at least one acquisition image while the acquisition of the diagnostic image data is still in progress and one or more adjustable image acquisition settings are adjusted based on the at least one quantitative feature to optimize the acquisition of the diagnostic image data.

Automated coronary angiography analysis

The present invention relates to the use of dark field X-ray images in an ablation treatment of a tumour. By acquiring dark field X-ray images displaying the region of interest targeted in the ablation treatment, information can be derived which allows taking a decision on terminating the ablation treatment. A set of dark field X-ray images is received (), which is acquired at different time instants and comprises the region of interest. Dark field X-ray images of the set are compared (), for example by determining difference images between the individual images. If during that comparison a change in the dark field X-ray images is detected over time in the region of interest, then a signal is generated () indicating a change has occurred. That signal may indicate that healthy tissue is being affected instead of the tumour and that consequently the ablation treatment should be ended.

Device and method for evaluating dark field images

An apparatus for assessing a vessel of interest and a corresponding method are provided in which the modeling of the hemodynamic parameters using a fluid dynamics model can be verified by deriving feature values from the segmented vessel of interest and inputting these feature values into a classifier. The classifier may then determine, based on the feature values whether the segmentation has been performed from proximal to distal, from distal to proximal or cannot be determined from the provided data. An incorrect segmentation order can thus be identified and potentially be corrected, thereby avoiding inaccurate simulation results.

Orientation detection for 2D vessel segmentation for angio-FFR

A method and apparatus for selecting one or more diagnostic images to generate a physiological model are provided in which a set of candidate images is determined for review by a user, in particular by a physician. The candidate images are hereby determined using one or more target measures, such as a density measure, a motion measure, a deviation measure or the like, that have been derived for each diagnostic image of an X-ray angiography series and by analyzing said target measure. Subsequently, a suitability score that is based on the requirements of the physiological model that shall be generated from the selected candidate images is assigned to each candidate image.

Most relevant x-ray image selection for hemodynamic simulation

An image processing system (IPS), comprising an input interface (IN) for receiving a projection image from a plurality of projection images of a movable object (PAT) acquired along different directions by an imaging apparatus (XA), the projection images defined in a projection domain spanned by a radiation sensitive surface of the detector (D). The system includes a motion checker (MC) configured to operate in the projection domain to decide whether the projection image is corrupted by motion of the object during acquisition.

Efficient motion-compensation in cone beam computed tomography based on data consistency

The present invention relates to a device () for providing image data during an extraction procedure for extracting a lead from the body of a subject using an extraction device (). The device comprises an input () for receiving live x-ray projection image data of the lead during the extraction procedure and for receiving three-dimensional image data as acquired before the extraction procedure. A processing unit () determines a position of the extraction device () in the three-dimensional image data by detecting the position in the live projection image data during the procedure and correlates this position in the live projection image data with the position in the three-dimensional image data. An output () generates an image of a cross-sectional view of the lead and/or its surrounding body structure at the determined position based on the three-dimensional image data.

Image guidance for implanted lead extraction

The invention relates to a blood flow determination apparatus () comprising a speckle density determination unit () for determining a speckle density value being indicative of a level of a speckle density in an ultrasound image of an inner lumen of a blood vessel, which has been generated at an imaging location being behind an introduction location at which a fluid has been introduced into the blood vessel () with a known volumetric fluid flow rate. A blood flow rate determination unit () determines a blood flow value being indicative of a volumetric blood flow rate based on the determined speckle density value and the volumetric fluid flow rate. This allows determining the intravascular blood flow with an improved accuracy.

Blood flow determination apparatus

An apparatus for assessing a coronary vasculature and a corresponding method are provided which allow to globally assess a coronary artery disease directly from the contrast agent dynamics as derived from diagnostic images acquired using an invasive medical imaging modality by following the time course of the area occupied by the vessels in the diagnostic images.

Blood flow measurement based on vessel-map slope

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Buchholz in der Nordheide, Germany

Michael Grass