IDENTIFYING STENT DEFORMATIONS
    2.
    发明公开

    公开(公告)号:US20240289953A1

    公开(公告)日:2024-08-29

    申请号:US18571790

    申请日:2022-06-23

    Inventor: TOBIAS WISSEL

    Abstract: A system (100) for identifying deformations of a deployed stent, is provided. The system includes one or more processors (110) configured to: receive (SI 10) X-ray image data representing one or more X-ray images (120) of a deployed stent (130) within a lumen (140), the stent including a plurality of stent struts (150): analyse (S120) the X-ray image data to determine a distribution of the stent struts (150) along an axis (160) of the lumen (140); and identify (S130) one or more longitudinally-deformed portions (170, 180) of the stent based on a density of the determined distribution of the stent struts (150) along the axis (160) of the lumen (140).

    METHODS AND SYSTEMS FOR ADJUSTING THE FIELD OF VIEW OF AN ULTRASOUND PROBE

    公开(公告)号:US20220142612A1

    公开(公告)日:2022-05-12

    申请号:US17438964

    申请日:2020-03-13

    Abstract: The invention provides for a method for switching between fields of view of an ultrasound probe. The method begins by obtaining an anatomical model representing a region of interest of a subject and establishing a first field of view relative to an ultrasonic probe, wherein the first field of view comprises an initial portion of the region of interest. Ultrasound data is then obtained from the first field of view by way of the ultrasonic probe and a first anatomical feature is identified within the first field of view based on the ultrasound data. A location in digital space of the first field of view relative to the anatomical model is determined based on the first anatomical feature. A second field of view is then established based on the anatomical model and the first field of view, wherein the first field of view functions as a reference field of view. The field of view is then switched from the first field of view to the second field of view.

    DATA AUGMENTATION FOR A MACHINE LEARNING METHOD

    公开(公告)号:US20220415021A1

    公开(公告)日:2022-12-29

    申请号:US17780975

    申请日:2020-12-07

    Abstract: A mechanism for creating/synthesizing realistic training data, for training a machine-learning model, using anatomical knowledge. An anatomical model can be obtained. Information from annotated training data entries (i.e. “ground truth” information), can be used to model the anatomical variation, from the obtained model, in the population of the training data. This anatomical model can then be modified, e.g. incorporating some random factors, in order to generate one or more augmented models of realistic anatomies. The augmented anatomy is then transferred from the model domain to the data entry domain to thereby generate a new data entry or data entries for training a machine-learning model. This latter process can be achieved in various ways, e.g. using GANs, such as CycleGANs and label images, or deformation vector fields.

    DEVICE AND METHOD FOR PREDICTING AN UNFOLDED STATE OF A FOLDABLE IMPLANT IN BIOLOGICAL TISSUE

    公开(公告)号:US20200170709A1

    公开(公告)日:2020-06-04

    申请号:US16623130

    申请日:2018-06-29

    Abstract: The present invention relates to a device for predicting an unfolded state of a foldable implant in biological tissue, the device comprising: a receiving unit configured to receive pre -treatment 3D planning image data and treatment image data, the treatment image data comprising catheter image data, the catheter image data comprising landmark image data; a segmentation module configured to segment the pre-treatment 3D planning image data resulting in segmented 3D planning image data; a search unit configured to locate the landmark image data within the treatment image data resulting in a known landmark position and a known landmark orientation; a registration module configured to register the segmented 3D planning image data to the treatment image data resulting in registered treatment image data; and a simulation unit configured to simulate an unfolded state of a foldable implant in biological tissue based on the known landmark position and the known landmark orientation in the biological tissue resulting in a simulated unfolded implant positioned in biological tissue. The present invention provides the knowledge of the unfolded implant in the biological tissue as well as its interaction with the anatomical placement domain at the current landmark position prior to the real deployment.

    PERIPHERAL PERFUSION ANALYSIS
    7.
    发明申请

    公开(公告)号:US20250057497A1

    公开(公告)日:2025-02-20

    申请号:US18719277

    申请日:2022-12-02

    Abstract: The present invention relates to peripheral perfusion analysis. In order to provide improved information for a perfusion analysis, a device (10) for peripheral perfusion analysis is provided. The device comprises a data input (12), a data processor (14) and an output interface (16). The data input is configured to provide a sequence of 2D angiograms (18); and to provide a measured perfusion signal (20) of perfused contrast agent in a region of interest. The data processor is configured to extract the region of interest; to define a blood supply section comprising blood flow entry into and blood flow exit out of the region of interest; to segment the blood supply section to extract regions occupied by detectable vessels; to identify vessels responsible for an inflow to extract the blood inlet into the region of interest; and to sum up all blood inlet of the section providing a perfusion sum. The output interface is configured to deconvolve the perfusion signal of the region of interest with the perfusion sum.

    PERFUSION ANALYSIS
    8.
    发明申请

    公开(公告)号:US20250032080A1

    公开(公告)日:2025-01-30

    申请号:US18715768

    申请日:2022-11-28

    Abstract: The present invention relates to perfusion analysis. In order to provide a facilitated way of achieving and providing perfusion analysis, a device (10) for perfusion analysis is provided that comprises a data input (12), a data processor (14) and an output interface (16). The data input is configured to provide X-ray based 2D angiographic image data as first image data of a region of interest of a subject; wherein the first image data comprises information about a distribution of contrast agent in tissue areas of the region of interest being indicative for perfusion; and to provide 2D optical perfusion measurement image data as second image data of a surface layer of a flat part of the region of interest of the subject; wherein the second image data comprises information about blood related properties of blood present within the surface layer of the flat part of the region of interest. The data processor is configured to register the first image data and the second image data; and to transfer perfusion related image content from the second image data to the first. image data, generating enhanced first image data. The output interface is configured to provide the enhanced first image data.

    SLICE ALIGNMENT FOR SHORT AXIS CARDIAC MR CINE SLICE STACKS

    公开(公告)号:US20220163612A1

    公开(公告)日:2022-05-26

    申请号:US17442678

    申请日:2020-03-24

    Abstract: Slice alignment approaches are described for short axis cardiac magnetic resonance cine slice stacks, which do not require additional scans, such as long axis scans or full 3D scans, and which are able to deal with cardiac structures having complex shapes. Both approaches do not need contours to follow a quadratic curvature function, and are well suitable for the purpose of obtaining a segmentation of a cardiac structure using a deformable surface model. Namely, such a deformable surface model is unable, but also not desired, to fully adapt to the ‘zig-zag’-shaped pattern in the boundary of the cardiac structure due to the slice misalignment. Having removed or reduced the misalignment between image slices, such a deformable surface model may better adapt to the cardiac structure in the image data and 10 thereby provide a better segmentation of the cardiac structure.

    CORONARY ARTERY HEALTH STATE PREDICTION BASED ON A MODEL AND IMAGING DATA

    公开(公告)号:US20210073978A1

    公开(公告)日:2021-03-11

    申请号:US16642253

    申请日:2018-08-17

    Abstract: A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a predictor (126) configured to determine a baseline coronary state and a predicted coronaiy state from contrast enhanced cardiac computed tomography volumetric image data and a model of an effect of one or more substances on characteristics effecting the coronaiy state. The system further includes a processor (120) configured to execute the predictor to determine the baseline coronary state and the predicted coronary state from the contrast enhanced cardiac computed tomography volumetric image data and the model of the effect of one or more of the substances on the characteristics effecting the coronary state. The system further includes a display configured to display the baseline coronaiy state and the predicted coronaiy state.

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