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: 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 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: 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: Various embodiments of the present disclosure encompass a visual image sequence controller (40) for controlling an augmentation of a visual imaging sequence acquisition of an interventional imaging sequence in a rendered augmented view of an image-guided intervention by an augmented reality device (30). The visual imaging sequence acquisition (42) includes, for each inter-ventional image of the interventional imaging sequence (23), an interactive virtual indicator of a sequence number of a corresponding interventional image within the interventional imaging sequence (23) and an imaging parameter of the imaging modality (20) (e.g., a direction, a rotation and/or an angulation of the imaging modality (20)) during an acquisition of the corresponding interventional image by the imaging modality (20). The controller (40) interfaces with the imaging modality (20) and/or a display (24, 31) responsive to a user interaction with at least one of the interactive virtual indicators.

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: 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: An adaptive X-ray anti-scatter device (20) for placement in the source-detector axis (22) of an X-ray imager (8) comprising:—an anti-scatter filter having a source orientable surface and a detector orientable surface, wherein the anti-scatter filter comprises a plurality of realignable slats (24) for absorbing incident X-rays, wherein the slats are separated by a plurality of interstitial portions (26); and—a first actively deformable member (26a) comprising a first set of one or more actively deformable actuators (28a, 28b) disposed across a first region of the first actively deformable member (26a), wherein one or more actively deformable actuators of the first set of one or more actively deformable actuators are configured to change the alignment of a corresponding of slat of the anti-scatter filter in relation to the source-detector axis, wherein at least a portion of each actuator of the first set of one or more actively deformable actuators is partially or fully recessed within the interstitial portions

Abstract: The present invention relates to guidance during examinations or interventional procedures. In order to facilitate information provision in a medical environment such as an operation room or cathlab, an augmented reality display device (10) for medical equipment is provided that comprises a data input unit (12), a processing unit (20) and a display unit (22). The data input unit is configured to receive displayed operation parameters (14) of at least one medical appliance. The data input unit is also configured to receive relative location information (16) of at least one medical appliance in relation to the display unit and a viewing direction information (18) of the user. The processing unit is configured to detect if at least one of the medical appliances is in the user's field of view based on the relative location information and the viewing direction information. The processing unit is further configured to generate display data based on the operation parameters of the detected medical appliance.

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: 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: 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: 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: 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 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.