Abstract:
An image processor (IP) and an image processing method to support cardio- or neuro-interventions. An imager (100) acquires a series of fluoroscopic images (F) while an interventional tool progresses through a region of interest (ROI) such as a cardiac vasculature. Image processor (IP) operates to select from a plurality of stored angiograms (A) previously acquired of the region of interest a contextual one from which a contextual roadmap (RM) can be extracted. The contextual roadmap is selected to fit to both, a current cardiac phase and the current position of the device (GW). The selected contextual angiogram and its contextual roadmap is capable of showing the outlines of the vasculature (ROI) at the current device position at high contrast.
Abstract:
The present invention relates to positioning of stents or other medical interventional devices. In order to provide an improved marker detection suitable for smaller markers, a device (10) for positioning a medical interventional device is provided. The device comprises a data input interface (12), a data processing unit (14) and a data output interface (16). The data input interface is configured to provide at least one image of a region of interest of a subject. In the at least one image, at least a part of a guiding apparatus for a medical interventional device is arranged in the region of interest, which part of the guiding apparatus comprises at least one apparatus position marker visible in the at least one image. Further, in the at least one image, a medical interventional device is arranged at least partly in the region of interest, which medical interventional device comprises device position markers, which are less visible in the image than the at least one apparatus position marker. The data processing unit is configured to detect the at least one apparatus position marker in the at least one image, and to define a proximity region in the at least one image based on the at least one apparatus position marker, and to select the proximity region, to detect the device position markers in the proximity region, and to enhance the device position markers in the at least one image for supporting a positioning of the medical interventional device. The data output interface is configured to provide the at least one image with the enhanced device position markers.
Abstract:
An information retrieval system (IPS). The system comprises an input interface (IN) for receiving a query related to an object of interest. A concept mapper (CM) is configured to map the query to one or more associated concept entries of a hierarchic graph data structure (ONTO). The entries in said structure encode linguistic descriptors of components of a model (GM) for said object (OB). A metric-mapper (MM) is configured to map the query to one or more metric relationship descriptors. A geo-mapper (GEO) is configured to map said concept entries against the geometric model linked to the hierarchic graph data structure to obtain spatio-numerical data associated with said linguistic descriptors. A metric component (MTC) is configured to compute one or more metric or spatial relationships between said object components based on the spatio-numerical data and the one or more metric relationship descriptors.
Abstract:
The present invention relates to visualizing vasculature structure. In order to provide an improved visualizing a course of a vasculature structures with an occlusion, it is provided: a) to determine (102) a region of interest in a first image of a sequence of a cardiac vasculature structure, which is at least partly injected with contrast agent; wherein the vasculature structure comprises an occlusion and wherein vessel portions distal of the occlusion are non-visible; b) to identify (104) a trajectory proposal from a proximal vessel portion that is visible in the image to a distal portion of the occlusion as a first estimation of the non-visible vessel portions; c) to modify (106) the trajectory proposal generating a plurality of possible trajectories for matching with the vessel course in a next image of the sequence; d) to determine (108) a plausibility value for each of the possible trajectories; e) to select (110) the possible trajectory with the highest plausibility value as vessel course indicator for the first image; f) to repeat (112) steps c) to e) for each image of the sequence to achieve a sequence of vessel course indicators; g) to associate (114) the vessel course indicators to the images corresponding to the same heart phase of the sequence of the cardiac vasculature structure; and h) to display (116) an illustration of the cardiac vasculature structure with the associated course indicators.
Abstract:
An apparatus configured to generate for display a plurality of vasculature views alongside a live fluoroscopy image. The views are selected in such a way that they allow visualizing the 3D structure of the vasculature segment in which the device is currently navigating. The view is best relative to one or a weighted average of a plurality of goodness of view standards. As the device progresses and new fluoroscopy images are acquired, the views are updated accordingly.
Abstract:
An apparatus configured to generate for display a plurality of vasculature (115) views (170a-c) alongside a live fluoroscopy image (190a). The views are selected in such a way that they allow visualizing the 3D structure of the vasculature segment in which the device (117) is currently navigating. The view is best relative to one or a weighted average of a plurality of goodness of view standards. As the device progresses and new fluoroscopy images (190b-c) are acquired, the views (170i-k) are updated accordingly.
Abstract:
Imaging systems and methods for imaging assisted interventional procedure that receive images of a region of interest, that automatically detect in the images a contrast agent puff as it courses through the region of interest, and that generate a display including a video replay loop of contrast enhanced images based on the automatic detection of the contrast agent puff.
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 direction (42).
Abstract:
An information retrieval system (IPS). The system comprises an input interface (IN) for receiving a query related to an object of interest. A concept mapper (CM) is configured to map the query to one or more associated concept entries of a hierarchic graph data structure (ONTO). The entries in said structure encode linguistic descriptors of components of a model (GM) for said object (OB). A metric-mapper (MM) is configured to map the query to one or more metric relationship descriptors. A geo-mapper (GEO) is configured to map said concept entries against the geometric model linked to the hierarchic graph data structure to obtain spatio-numerical data associated with said linguistic descriptors. A metric component (MTC) is configured to compute one or more metric or spatial relationships between said object components based on the spatio-numerical data and the one or more metric relationship descriptors.