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: A method for classifying a vasculature comprises training a training device with an initial model of a vasculature using diagnostic image data representing a geometry for a plurality of vessels of a vessel tree and including a respective vessel labeling for each vessel, providing at least one diagnostic image of a patient's vessel tree and identifying a variation between the vessel tree represented by the initial model and the patient's vessel tree. This variation is checked and labeled in order to improve the trained model. The process may be repeated iteratively until reaching an accurate patient-specific model of the vasculature.

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 relates to a device (10) for determining the position of stents (34, 36) in an image of vasculature structure, the device (10) comprising: an input unit (12); a processing unit (14); and an output unit (16); wherein the input unit (12) is configured to receive a sequence of images (24) of a vasculature structure (38) comprising at least one vessel branch (44, 46); wherein the processing unit (14) is configured to: detect positions of at least two markers (26, 28, 30, 32) for identifying a stent position (50, 52) in at least one of the images (24); detect at least one path indicator (64, 66, 74, 76) for the at least one vessel branch (44, 46) in at least one of the images (24) of the vasculature structure (38) at least for vessel regions in which the positions of the markers (26, 28, 30, 32) are detected; associate the at least two markers (26, 28, 30, 32) to the at least one path indicator (64, 66, 74, 76) based on the detected positions of the markers (26, 28, 30, 32) and the location o

Abstract: An adaptive X-ray anti-scatter device for placement in a source-detector axis of an X-ray imager includes an anti-scatter filter having a source orientable surface and a detector orientable surface. The anti-scatter filter comprises a plurality of realignable slats that absorb incident X-rays and are separated by a plurality of interstitial portions. The device also includes a first actively deformable member comprising a first set of one or more actively deformable actuators disposed across a first region of the first actively deformable member. At least a portion of the first set is partially or fully recessed within the interstitial portions. At least one actuator of the first set is in contact with a corresponding realignable slat of the plurality of realignable slats and is configured to change the alignment of the corresponding realignable slat in relation to the source-detector axis.

Abstract: A method for classifying a vasculature comprises training a training device with an initial model of a vasculature using diagnostic image data representing a geometry for a plurality of vessels of a vessel tree and including a respective vessel labeling for each vessel, providing at least one diagnostic image of a patient's vessel tree and identifying a variation between the vessel tree represented by the initial model and the patients vessel tree. This variation is checked and labeled in order to improve the trained model. The process may be repeated iteratively until reaching an accurate patient-specific model of the vasculature.

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 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: 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: In cardiac roadmapping, a “roadmap”, which is typically a representation of the vasculature of a patient obtained via previously acquired data from a CT scan, is overlaid on live intervention data, showing the position of an intervention device obtained using fluoroscopy. In this way, the intervention device may be tracked inside a realistic representation of the patient. The accurate registration of the fluoroscopic image to the roadmap data is an important step, otherwise the reported live position of the intervention device would not be shown at an accurate position inside the roadmap. Registration can be performed by the injection of contrast medium. In the case of cardiac roadmapping, the small vessel diameters mean that it is possible to register intervention devices directly. However, the behavior of intervention devices in larger vessels is difficult to predict, and so device-based registration is harder to achieve in such a context.

Abstract: An apparatus for medical imaging of a patient, including an object of interest, is provided. The apparatus comprises a patient support unit, a processor, and a display. The patient support unit is configured to receive a patient. The processor is configured to receive scout images of the patient acquired in respective positions of the apparatus. Each respective position is represented by a position parameter. The processor is further configured to select at least one iso-centering image from the scout images by geometrical calculation using the position parameter of each scout image and a position parameter representing a present position of the apparatus. The processor is further configured to adapt the appearance of the at least one iso-centering image according to the present position of the apparatus. The display is configured to present the at least one adapted iso-centering image.

Abstract: An imaging apparatus images a first object (10), like a tip of a catheter, disposed within a second object, such as a vascular structure of a person. A three-dimensional representation of the second object including a representation of a surface (23) of the second object and the position of the first object relative to the position of the second object are provided. A projection (22) of the first object onto the representation of the surface of the second object is determined and shown to a user like a physician on a display (18). The three-dimensional spatial relationship between the first object and the second object is thereby shown in a way that is very native for the user, i.e. a visualization can be provided, which allows the user to easily and accurately grasp the three-dimensional spatial relationship between the first object and the second object.

Abstract: The present invention relates to determining optimal C-arm angulation for heart valve positioning. In order to further improve the workflow in relation with the correct positioning of a valve prosthesis, it is described to provide (12) a 2D image of an aortic root of a heart of a patient, wherein the 2D image comprises three cusps of the heart in a visible and distinct manner. Further, 2D positions of the three cusps are indicated (14) in the 2D image. An analytical 3D model of the aortic cusp locations is provided (16), and the 3D positions of the three cusps are computed (18) based on the 2D positions and the analytical 3D model. Still further, an optimal C-arm angulation is computed (20) based on the computed 3D positions of the cusps, wherein, in the optimal C-arm angulation, the three cusps are aligned in a 2D image. The optimal C-arm angulation is then provided for further image acquisition steps.

Abstract: The invention relates to an imaging device (10) for registration of different imaging modalities, an imaging system (1) for registration of different imaging modalities, a method for registration of different imaging modalities, a computer program element for controlling such device and a computer readable medium having stored such computer program element. The imaging system (1) for registration of different imaging modalities comprises a first imaging modality (2), a second imaging modality (3), and an imaging device (10) for registration of different imaging modalities. The imaging device (10) for registration of different imaging modalities comprises a model provision unit (11), a first image data provision unit (12), a processing unit (13), a second image data provision unit (14), and a registration unit (15). The model provision unit (11) provides a cavity model of a visceral cavity.

Abstract: The invention relates to a user interface (300) for measuring an object viewed in an image computed from image data, the user interface comprising an image unit (310) for visualizing the image data in the image, a deployment unit (320) for deploying a caliper (21) in an image data space, a scaling unit (330) for scaling the caliper (21) by a scaling factor in a direction in the image data space, a translation unit (340) for translating the caliper (21) in the image data space, and a caliper unit (350) for visualizing the caliper (21) in the image, wherein the caliper (21) comprises a knot for measuring the object, and wherein the object is measured based on the scaling factor. The caliper (21) comprising the knot, which determines the shape of the caliper (21), is a simple reference object of known geometry and size.

Abstract: A system for visualizing a flow within a volume of a 3-dimensional (3-D) image includes a first transfer unit for applying a first transfer function, which assigns a renderable property to each location of a first plurality of locations within the volume based on a flow pattern assigned to the location. A second transfer unit is provided for applying a second transfer function, which assigns a renderable property to each location of a second plurality of locations within the volume based on a value of the 3-D image assigned to the location. Further, the system also includes a mixing unit for computing a 2-dimensional (2-D) image based on the renderable property assigned to each location of the first plurality of locations and on the renderable property assigned to each location of the second plurality of locations, where the 2-D image visualizes the flow pattern and the 3-D image.

Abstract: View parameter establishing means are arranged for establishing a first view parameter value based on a first object parameter value. View visualization means are arranged for visualizing the view of the image in accordance with the first view parameter value. Interaction means are arranged for enabling a user to indicate a point in the view. Object parameter updating means are arranged for updating the object parameter based on the point to obtain a second object parameter value. The view parameter establishing means is arranged for updating the view parameter based on the second object parameter value to obtain a second view parameter value. The view visualization means is arranged for sequentially visualizing a view of the image in accordance with an intermediate view parameter value between the first view and the second view parameter values, and a view of the image in accordance with the second view parameter value.

Abstract: A system for performing vessel analysis uses display means (1) for displaying a three-dimensional image representing at least a tubular structure. Indicating means (2) are used for enabling a user to indicate a position on a vessel of the tubular structure, for obtaining an indicated position. Identifying means (3) are used for identifying a portion of the tubular structure situated around the indicated position, including any bifurcations, and extending up to a predetermined distance measure from the indicated position, for obtaining an identified portion. The display means (1) is also used for displaying a graphical annotation in the displayed three-dimensional image, indicative of the identified portion of the tubular structure.

Abstract: The invention relates to a system (SYS) for visualizing a flow within a volume of a 3-dimensional (3-D) image, the system comprising a first transfer unit (U30) for applying a first transfer function, which assigns a renderable property to each location of a first plurality of locations within the volume, on the basis of a flow pattern assigned to said location; a second transfer unit (U40) for applying a second transfer function, which assigns a renderable property to each location of a second plurality of locations within the volume, on the basis of a value of the 3-D image assigned to said location; and a mixing unit (U50) for computing a 2-D image based on the renderable property assigned to each location of the first plurality of locations and on the renderable property assigned to each location of the second plurality of locations, wherein the 2-D image visualizes the flow pattern and the 3-D image.