Abstract: Mechanical image acquisition systems (such as medical C-arms) frequently accumulate geometrical errors which must be calibrated out using a calibration phantom. A more frequent regime of system calibration implies a less frequent use of the C-arm for clinical applications. The present application proposes to identify common biases between the acquired projection frame sequences from the same mechanical image acquisition system in first and second acquisitions, and to compare this to expected calibration data of the mechanical image acquisition system to generate frame deviation measures. If a resemblance between the first and second sequences of frame deviation measures is obtained, one or more calibration actions are performed (such as alerting the user that calibration should be provided, and/or automatically correcting for the geometry deviation).

Abstract: 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.

Abstract: The present invention relates to a device for interacting with vessel images, the device (14) comprising: an interface unit (22); a processing unit (20); wherein the interface unit (22) comprises: a display (21); and an input setup (23); wherein the display (21) is configured to display a vessel image (24); wherein the input setup (23) is configured to receive a user input in relation to the vessel image (24); wherein the processing unit (20) is configured to: determine, for at least one vessel (26) in the vessel image (24), a vessel contour (30); determine, from the user input, an identifier position (36) in the vessel image (24); indicate at least a portion (38) of the vessel contour (30) in the vessel image (24), if the determined identifier position (36) is spaced apart from the vessel contour (30) by a distance (37) within a predefined distance range; determine, from the user input, a drag direction (42); and move the indicated portion (38) along the vessel contour (30) based on the determined drag direc

Abstract: An apparatus and a method for assessing a vasculature is provided in which a time series of diagnostic images is used in combination with at least one boundary parameter associated with said time series to determine a quantitative fluid dynamics parameter indicative of the fluid flow through the vasculature using a trained classifier. By providing both, the time series of diagnostic images and the at least one boundary parameter to the determination, it is ensured that the classifier is provided with consistent data allowing for a more accurate determination of the quantitative fluid dynamics parameter.

Abstract: The present disclosure relates to a method for generating training data for a recognition model for recognizing objects in sensor data of a vehicle. First sensor data and second sensor data are input into a learning algorithm. The first sensor data comprise measurements of a first surroundings sensor. The second sensor data comprise a measurements of a second surroundings sensor. A training data generation model is generated, using learning algorithm, that generates measurements of the second surroundings sensor assigned to measurements of the first surroundings sensor. First simulation data are input into the training data generation model. The first simulation data comprise simulated measurements of the first surroundings sensor. Second simulation data are generated as the training data based on the first simulation data using the training data generation model. The second simulation data comprise simulated measurements of the second surroundings sensor.

Abstract: Vasculature modeling systems and methods are disclosed that generate an enhanced 3D model based on a combination of two dimensional, 2D, imaging data of a region of interest and 3D imaging data of the region of interest. A hemodynamic simulation is performed using the enhanced 3D model to derive at least one hemodynamic parameter based on the hemodynamic simulation.

Abstract: An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) 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.

Abstract: Embodiments disclosed herein relate to systems and methods for identifying features sensed by a vascular device. In an embodiment, a vascular device configured to identify features sensed by the vascular device comprises and imaging device and a processing device. The imaging device is configured to be disposed in a vascular space and send at least one signal corresponding to an image of the vascular space. The processing device is electronically coupled to the imaging device and is configured to: receive the at least one signal corresponding to the image of the vascular space; determine at least one feature included in the image; identify at least a portion of the feature using a graphical representation; and output the graphical representation identifying the portion of the feature to a display device.

Abstract: An apparatus for assessing a patient-s vasculature is provided which is adapted to derive a physiological model of the vasculature including a geometric model and a fluid dynamics model of a vessel of interest and a dynamics measure indicative of a contrast agent dynamics through the vasculature from a plurality of diagnostic images and to analyze the at least one dynamics measure as the function of time such as to adjust at least one boundary condition of the fluid dynamics model.

Abstract: 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.

Abstract: The invention relates to an apparatus configured to display an aortic valve image and an indicator when the aortic valve is in its open-state and/or when the valve is in its closed-state. The indicator is supposed to be in an overlay to the image of the aortic valve, such that a physician can see on the same display image the information needed to advance a guide wire or catheter through the aortic valve of a heart. This may prevent damaging ensures not to damage the aortic valve. The physician receives the relevant information, when the aortic valve is in its open-state and thus being in a state to be passed by the catheter. The information, whether the aortic valve is in its open-state or in its closed-state, corresponds to the systolic phase and the distal phase of the heart, respectively. The information, when the heart is in its systolic phase and when it is in the diastolic phase may be extracted from an ECG measurement.

Abstract: The present invention relates to a device (1) for providing image data during an extraction procedure for extracting a lead from the body of a subject using an extraction device (7). The device comprises an input (2) 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 (3) determines a position of the extraction device (7) 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 (4) 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.

Abstract: The present invention relates to an apparatus (10) for designing or configuring a guide for a bronchoscope or guiding sheath. It is described to providing (310) a processing unit with at least one diagnostic image of a patient, wherein the at least one diagnostic image comprises image data of a region of interest and image data of the bronchial tree or vascular system in the vicinity of the region of interest. The processing unit determines (320) a position of the region of interest. The processing unit determines (330) a position in the bronchial tree or vascular system from which an intervention is to be carried out via a bronchoscope or guiding sheath. The intervention will comprise movement of a part of an intervention device towards the region of interest, wherein the bronchoscope or guiding sheath is configured such that the part of the intervention device can exit an end of the bronchoscope or guiding sheath.

Abstract: 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.

Abstract: An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) 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.

Abstract: The present invention is directed towards a system and method for transarterial chemoembolization using differently sized drug-eluting microsphere beads filled with drugs and determining a delivered drug concentration using an imaging system.

Abstract: 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.

Abstract: The present invention relates to an intra cardiac echo imaging device, an intra cardiac echo imaging system and method for assessing coronary circulation using an intra cardiac echo probe. An image of a cardiac region is received, wherein the image provides at least one or more coronary vessels and/or at least one heart chamber; at least one region of interest within the image is defined; imaging parameters of an intra cardiac echo probe are received; and at least one of a location, an orientation and access path of the intra cardiac echo probe relative to the region of interest is calculated based on: anatomical content in the region of interest and/or in the cardiac region and the imaging parameters of the intra cardiac echo probe; a roadmap and the at least one of the calculated location, orientation and access path of the intra cardiac echo probe is output to a display.

Abstract: An anti-glare headlamp for a motor vehicle, including a large number of light units, each of the light units having: a light source element, which is configured to emit light along a first optical axis in the direction of a space; a projection optic, which is disposed behind the light source element in the direction of the emitted light and is configured to project the light emitted by the light source element into the space at a solid angle; and a photodetector, which is situated in front of the projection optic in the direction of the emitted light and is configured to detect the light projected into the space by the projection optic and reflected from an object in the space, along a second optical axis back to the projection optic.

Abstract: A method for generating labels for a data set. The method includes: providing an unlabeled data set comprising a number of unlabeled data; generating initial labels for the data of the unlabeled data set; providing the initial labels as nth labels where n=1; performing an iterative process, where an nth iteration of the iterative process comprises the following steps for every n=1, 2, 3, . . . N: training a model as an nth trained model using a labeled data set, the labeled data set being given by a combination of the data of the unlabeled data set with the nth labels; predicting nth predicted labels for the unlabeled data of the unlabeled data set by using the nth trained model; determining (n+1)th labels from a set of labels comprising at least the nth predicted labels.