Abstract:
A computer-implemented method of performing motion compensation on a temporal sequence of digital subtraction angiography, DSA, images includes: inputting (S120) a temporal sequence of DSA images (110) into a neural network (120) trained to predict, from the inputted temporal sequence (110), a composite motion-compensated DSA image (130) representing the inputted temporal sequence (110) and which includes compensation for motion of the vasculature between successive contrast-enhanced images in the temporal sequence, and which also includes compensation for motion of the vasculature between acquisition of contrast-enhanced images in the temporal sequence and acquisition of the mask image; and outputting (S130) the predicted composite motion-compensated DSA image (130).
Abstract:
The present invention relates to localizing stenoses. In order to provide improved and facilitated stenosis localization, a device (10) for localizing a stenosis in an angiogram is provided. The device comprises an image supply (12), a data processor (14) and an output (16). The image supply is configured to provide a first image (18) and a second image (20). The first image is an angiographic image that comprises image data representative of a region of interest of a vascular structure in a visible and distinct manner, wherein the vascular structure comprises at least one vessel with at least a part of a stenosis. The second image is a treatment X-ray image that comprises image data representative of at least a part of an interventional device arranged within the vascular structure in a state when the stenosis of the vascular structure is treated. The data processor is configured to identify and delineate the stenosis in the first image based on the first image and at least based on device-related content present in the second image. The data processor is also configured to detect the interventional device in the second image, and to provide a direct identification of structures in the first image that are most similar to the device as detected in the second image. The output is configured to provide an indication of the stenosis.
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:
A system (100) for determining flow parameters of a lumen (110) in a hyperemic state induced subsequent to a contrast agent injection (Inj 1) into the lumen in a basal state, is provided. The system comprising one or more processors (120) configured to: determine (S110), based on received angiographic data representing the injected contrast agent and/or received injector data representing the injected contrast agent, a temporal window (TH0, TH1) representing a duration of the induced hyperemic state; and output (S120) a signal (Sh) indicative of the temporal window (TH0, TH1).
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 image processing method and related system to register projection images (AG, MI) only with respect to a motion of a landmark across said images. The motion of the landmark relates to a motion of a region of interest, ROI. The so registered images (AG, MI) are then subtracted from each other to arrive at a difference image that is locally motion compensated and that represents the ROI at good contrast whilst subtraction artifacts can be avoided.
Abstract:
Apparatuses (IP) and related methods to visualize previously suppressed image structures in a radiograph (RD). A graphical indicator (505, 510, 515) is superimposed on the radiograph (RD) to indicate the suppressed image structure (412). The apparatuses allow toggling in our out the graphical indicator (505, 510, 515) or to toggle between different graphical renderings thereof.
Abstract:
A medical image viewing device (14) for navigation in X-ray imaging is proposed, which inter alia comprises a processing unit (30). The processing unit (30) is configured to perform a 3D-2D registration of a preoperative three-dimensional volume based on geometry parameters of an image data providing unit, which provides fluoroscopy images of an object of interest and a plurality of structures with interfering motions to be removed, for creating digitally reconstructed radiograph images of these structures for each fluoroscopy image. These are subtracted from the respective fluoroscopy images to generate structure-suppressed fluoroscopy images free from interfering motions. Based on these, an angiographic image sequence is generated performing a motion estimation of the structures.
Abstract:
Interventional medical procedures involve a complex sequence of actions, often involving many different medical professionals and items of equipment. These actions, and their notable attributes, should be recorded in detail, in case they are required during a consultation in the future. A typical medical interventional procedure could require hundreds, or even thousands, of actions to be recorded. This places demands on a medical practitioner during the intervention. Typically, important information is dictated into a report after an intervention. Attempting to produce the report by traditional means, such as by dictation, after the intervention is time-consuming. The proposed approach enables the formation of clinical reports based on structured interventional medical reporting data recorded during a medical intervention in an easier, and more accurate way. Interventional procedure status indications are used which may be derived from existing medical equipment, or information inputs.
Abstract:
A method and device is proposed for automatic detection of an event in which a device is leaving a stable position relative to and within an anatomy. The method comprises the steps of receiving a sequence of fluoroscopic images, detecting a device in at least two of the fluoroscopic images, determining a motion field of the detected device in the sequence of fluoroscopic images, generating a sequence of integrated images by integrating the sequence of fluoroscopic images taking into consideration the motion field, determining a saliency metric based on the integrated images, identifying a landmark in the integrated images based on the saliency metric, and determining as to whether the landmark is moving relative to the device, based on a variation of the saliency metric.