Koninklijke Philips Corporation N.v.

Koninklijke Philips Electronics N.v.

Philips Intellectual Property & Standards Gmbh

Holger Schmitt

Michael Grass

Hannes Nickisch

Peter Forthmann

Thomas Koehler

Tobias Klinder

Christian Haase

Sven Prevrhal

Sven Kabus

Udo Van Stevendaal

Raoul Florent

Bernhard Johannes Brendel

Arjen Van Der Horst

Hanno Heyke Homann

Heike Carolus

Roland Proksa

Volker Rasche

Liran Goshen

Dirk Schaefer

Peter Maria Johannes Rongen

Javier Olivan Bescos

Vincent Maurice André Auvray

Odile Bonnefous

Rolf Dieter Bippus

Mordechay Pinchas Freiman

Romane Isabelle Marie-Bernard Gauriau

Bram Antonius Philomena Van Rens

Roland Wilhelmus Maria Bullens

Rafael Wiemker

Cristian Lorenz

Heinrich Schulz

Eberhard Sebastian Hansis

Claas Bontus

Shlomo Gotman

Jan Timmer

Tobias Wissel

Yechiel Lamash

Manindranath Vembar

Heike Ruppertshofen

Schlomo Gotman

A device () for controlling an image acquisition of a multi-slice computed tomography system (), MSCT, is disclosed. The device comprises an input () for receiving projection image data from the MSCT (), an output () for controlling operation of the MSCT () and a processor (). The processor () is adapted for controlling the MSCT to acquire a large volume localizer radiograph, and for defining an organ region in the localizer radiograph that delimits an organ of interest. The processor is adapted for acquiring a large volume helical CT scan of the subject, in which an X-ray cone angle is increased when the organ region in the subject is translated into the examination volume and decreased when the organ region is translated out of the examination volume.

Adaptive helical computed tomography

An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface () and a processing unit (). The input interface is configured to obtain image data () representing a two-dimensional representation of a vessel (). The processing unit () is configured to determine a course of the vessel () and a width (ww) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

Apparatus for determining a functional index for stenosis assessment

An apparatus for assessing a patient's vasculature and a corresponding method identify the bifurcations in a vessel of interest on the basis of a local change in at least one geometric parameter value of the vessel of interest and adjust the fluid dynamics inside the vessel of interest to take account for said bifurcations.

Estimating flow to vessel bifurcations for simulated hemodynamics

A computing system () includes a computer readable storage medium () with computer executable instructions (), including a biophysical simulator (), and a reference location (), and a processor () configured to the biophysical simulator and simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by the reference location. A computer readable storage medium encoded with computer readable instructions, which, when executed by a processor of a computing system, causes the processor to simulate a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location. A method including simulating a reference FFR value at a predetermined location along a segmented coronary vessel indicated by a predetermined reference location.

Standardized coronary artery disease metric

The present invention relates to a device () for fractional flow reserve determination. The device () comprises a model generator () configured to generate a three-dimensional model (3DM) of a portion of an imaged vascular vessel tree (VVT) surrounding a stenosed vessel segment (SVS), based on a partial segmentation of the imaged vascular vessel tree (VVT). Further, the device comprises an image processor () configured to calculate a blood flow (Q) through the stenosed vessel segment (SVS) based on an analysis of a time-series of X-ray images of the vascular vessel tree (VVT). Still further, the device comprises a fractional-flow-reserve determiner () configured to determine a fractional flow reserve (FFR) based on the three-dimensional model (3DM) and the calculated blood flow.

Fractional flow reserve determination

A system () includes a computer readable storage medium () with computer executable instructions (), including: a predictor () configured to determine a baseline coronary state and a predicted coronary state from contrast enhanced cardiac computed tomography volumetric image data and a model of an effect of one or more substances on characteristics effecting the coronary state. The system further includes a processor () configured to execute the predictor to determine the baseline coronary state and the predicted coronary state from the contrast enhanced cardiac computed tomography volumetric image data and the model of the effect of one or more of the substances on the characteristics effecting the coronary state. The system further includes a display configured to display the baseline coronary state and the predicted coronary state.

Coronary artery health state prediction based on a model and imaging data

A computing system () includes a computer readable storage medium () with computer executable instructions (), including a including a biophysical simulator () with a segmentor () and a boundary condition determiner (). The computing system further includes a processor () configured to execute the biophysical simulator to compute a fractional flow reserve index with cardiac imaging data and at least one of an adapted coronary tree segmentation and an adapted boundary condition.

Fractional flow reserve simulation parameter customization, calibration and/or training

An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface () and a processing unit (). The input interface is configured to obtain image data () representing a two-dimensional representation of a vessel (). The processing unit () is configured to determine a course of the vessel () and a width (w, w) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

A method includes determining at least one characteristic about a stenosis in a vessel of a patient from image data of the stenosis, mapping the characteristic to a predefined stenosis characteristic to fractional flow reserve value look up table, identifying the fractional flow reserve value in the look up table corresponding to the characteristic, and visually presenting the image data and the identified fractional flow reserve value. A system includes memory storing a pre-defined stenosis characteristic to fractional flow reserve value look up table, a metric determiner () that maps at least one characteristic about a stenosis in a vessel of a patient, which is determined from image data of the stenosis, to a characteristic in the look up table and identifies a fractional flow reserve value corresponding to the characteristic, and a display () that visually presents the image data and the identified fractional flow reserve value.

Determination of a fractional flow reserve (FFR) value for a stenosis of a vessel

A computing system () includes a computer readable storage medium () with computer executable instructions (), including: a segmentation standardizer () configured to determine a standardized vascular tree from a segmented vascular tree segmented of volumetric image data and a predetermined set of pruning rules (), and a biophysical simulator () configured to perform a biophysical simulation based on the standardized vascular tree. The computing system further includes a processor () configured to execute the segmentation standardizer to determine the standardized vascular tree from the segmented vascular tree segmented of volumetric image data and the predetermined set of pruning rules, and configured to execute the biophysical simulator to perform a biophysical simulation based on the standardized vascular tree. The computing system further includes a display configured to display at least one of the standardized vascular tree and a result of the biophysical simulation.

Vascular tree standardization for biophysical simulation and/or an extension simulation for pruned portions

A system () for segmenting a coronary artery vessel tree () of a patient heart in a three dimensional (3D) cardiac image () includes a coronary volume definition unit () and a coronary artery segmentation unit (). The coronary volume definition unit () sets a spatial boundary () from internal and external surfaces of heart tissues in the 3D cardiac image based on a fitted heart model (). The coronary artery segmentation unit () segments the coronary artery vessel tree () in the 3D cardiac image using a segmentation algorithm with a search space limited by the spatial boundary set from the internal and external surfaces of the heart tissues.

Heart model guided coronary artery segmentation

Stenosis information is obtained by obtaining photographic image data () from a displayed image of a blood vessel () containing the stenosis. Contours of the blood vessel and the stenosis are detected and dimensions are estimated from the photographic image data. A blood vessel model is reconstructed and fractional flow reserve data is calculated using the blood vessel model.

Mobile FFR simulation

A medical system includes a medical instrument () configured for interventional deployment and a shape sensing system () mounted on or in the medical instrument and configured to measure a shape of the medical instrument during the interventional deployment. An imaging device () is mounted on or in the medical instrument and configured to image a lumen in which the imaging device is deployed. A registration module () is configured to register the shape of the medical instrument to an image of the lumen at a particular time to reconstruct a three-dimensional geometry of the lumen, accounting for motion.

Shape sensed ultrasound probe for fractional flow reserve simulation

The invention relates to a device for processing CT imaging data, comprising a processing unit, which is configured to receive a plurality of sets of CT imaging data recorded at different imaging positions and at different points in time. Furthermore, the processing device is configured to provide a plurality of auxiliary sets of CT imaging data, each auxiliary set of CT imaging data comprising processed image data allocated to spatial positions inside a respective spatial section of the object space, wherein a given one of the spatial sections contains those spatial positions which are covered by those sets of CT imaging data acquired at a respective one of the imaging positions, and to generate the processed image data for a given spatial position using those of the sets of CT imaging data acquired at the respective one of the imaging positions.

Device and methods for processing computer tomography imaging data

Growing community of inventors

Auburn Hills, MI, United States of America

Holger Schmitt