ULTRASOUND IMAGING METHOD AND SYSTEM
    2.
    发明申请

    公开(公告)号:US20200205784A1

    公开(公告)日:2020-07-02

    申请号:US16622662

    申请日:2018-06-19

    Abstract: A method is provided for generating an ultrasound image of an anatomical region having a volume. First image low resolution image data is enhanced by adapting a 3D anatomical model to the image data to generate a second, greater, quantity of ultrasound image data in respect of the anatomical region. The enhanced volumetric information is then displayed. An anatomical model is thus used to complete partial image data thereby increasing the image resolution, so that a high resolution volumetric image can be displayed with a reduced image capture time.

    METHODS AND SYSTEMS FOR CARDIAC CHAMBER IMAGING

    公开(公告)号:US20230061953A1

    公开(公告)日:2023-03-02

    申请号:US17799968

    申请日:2021-02-02

    Abstract: The invention provides a method for refining a mapped surface mesh of a cardiac chamber. The method includes obtaining a mapped surface mesh of the cardiac chamber anatomy, wherein the mapped surface mesh comprises a central region representing a cardiac chamber and an outer region representing a peripheral cardiac structure connected to the cardiac chamber, and wherein the mapped surface mesh comprises a first view of an anatomical landmark within the cardiac chamber, and obtaining image data of a cardiac chamber anatomy of a subject. The central region of the mapped surface mesh is deformed based on a first segmentation algorithm configured according to one or more predetermined shape- constraints and the outer region of the mapped surface mesh is deformed based on a second segmentation algorithm configured according to the image data, thereby generating a deformed outer region. The deformed central region and the deformed outer region are then combined, thereby generating a refined mapped surface mesh.

    Ultrasound imaging method
    5.
    发明授权

    公开(公告)号:US11406351B2

    公开(公告)日:2022-08-09

    申请号:US16619216

    申请日:2018-05-30

    Abstract: Provided is a method (200) for generating a combined anatomical model of a heart. The method comprises receiving (220) a non-contrast agent-enhanced ultrasound image of a left ventricular region of the heart and receiving (240) a contrast agent-enhanced ultrasound image of the left ventricular region of the heart. Image registration (260) is performed on the respective non-contrast agent-enhanced and contrast agent-enhanced ultrasound images, such that the respective images are aligned. Combined segmentation (270) of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images is then carried out to generate the combined anatomical model. The combined segmentation (270) uses features of both of the aligned non-contrast agent-enhanced and contrast agent-enhanced ultrasound images as target points. Further provided is a processor arrangement adapted to implement the method and an ultrasound system comprising the processor arrangement. A computer program product comprising computer program code means adapted to implement the method is also provided.

    Resolving and steering decision foci in machine learning-based vascular imaging

    公开(公告)号:US11721439B2

    公开(公告)日:2023-08-08

    申请号:US16978799

    申请日:2019-03-04

    Abstract: A system (SY) for determining a relative importance of each of a plurality of image features (Fn) of a vascular medical image impacting an overall diagnostic metric computed for the image from an automatically-generated diagnostic rule. A medical kin image database (MIDB) includes a plurality of vascular medical images (M1 . . . k). A rule generating unit (RGU) analyzes the plurality of C vascular medical images and automatically generates at least one diagnostic rule corresponding to a common diagnosis of a subset of the plurality of vascular medical images based on a plurality of image features common to the subset of vascular medical images. An image providing unit (IPU) provides a current vascular medical image (CVMI) including the plurality of image features. A diagnostic metric computation unit (DMCU) computes an overall diagnostic metric for the current vascular medical image by applying the at least one automatically-generated diagnostic rule to the current vascular medical image. A decision propagation unit (DPU) identifies, in the current vascular medical image, the relative importance of each of the plurality of image features on the computed overall diagnostic metric.

    Stress prediction and stress assessment for device insertion into a deformable object

    公开(公告)号:US11426240B2

    公开(公告)日:2022-08-30

    申请号:US16468303

    申请日:2017-12-06

    Abstract: A stress prediction device for predicting mechanical stress exerted to a deformable object due contact between the object and an external device that is to be inserted into the object at an intended insertion position comprises a segmentation unit configured to access generic model data representing a generic reference object that comprises predefined secondary landmark features at predefined landmark positions, which are not identifiable using a predefined imaging technique, and pre-insertion object image data acquired using the imaging technique. It provides segmented object model data which comprises associated mapped landmark position data indicative of mapped landmark positions of the secondary landmark features. A stress determination unit determines and provides predictive stress information indicative of mechanical stress exerted to at least one of the secondary landmark features at the associated mapped landmark position due to mechanical contact between the object and the external device.

    METHOD AND SYSTEM FOR ANALYZING PERFUSION PARAMETERS OF SKIN

    公开(公告)号:US20250049337A1

    公开(公告)日:2025-02-13

    申请号:US18718472

    申请日:2022-12-17

    Abstract: A system and method are provided for analyzing perfusion parameters of skin. The method includes acquiring a multi-band reflectance image of skin; delineating at least one clinically relevant spatial component of the multi-band reflectance image of the surface, where the at least one clinically relevant spatial component has substantially homogenous optical properties; performing reconstruction on the at least one clinically relevant spatial component using a corresponding at least one tailored reconstruction algorithm, respectively, where the at least one tailored reconstruction algorithm is specific to the at least one clinically relevant spatial component; and outputting estimated perfusion parameters of the skin for the at least one reconstructed clinically relevant spatial component from the at least one tailored reconstruction algorithm.

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