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    ULTRASONIC IMAGE QUALITY QUANTITATIVE EVALUATION METHOD
    124.
    发明公开
    ULTRASONIC IMAGE QUALITY QUANTITATIVE EVALUATION METHOD 审中-公开

    公开(公告)号：US20240320833A1

    公开(公告)日：2024-09-26

    申请号：US18199377

    申请日：2023-05-19

    申请人： SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

    发明人： Yingying HAN ,  Ying HU ,  Baoliang ZHAO ,  Yuxin SONG ,  Ziwen WANG ,  Peng ZHANG

    IPC分类号： G06T7/00 ,  G06T7/11

    CPC分类号： G06T7/0016 ,  G06T7/11 ,  G06T2207/10132

    摘要： An ultrasonic image quality quantitative evaluation method includes segmenting a focus area aiming at a target ultrasonic image to extract a region of interest and perform a masking operation to acquire an image segmentation result mask; taking the image segmentation result mask as a reference image, and quantitatively comparing the reference image with a corresponding focus area according to a set evaluation standard to acquire a plurality of evaluation result indexes; and inputting the plurality of evaluation result indexes as an image feature into a classifier to acquire a quality quantification result of the focus area of the target ultrasonic image, where the classifier takes the plurality of evaluation result indexes corresponding to a sample image as an input feature, takes an image quality label of the labeled focus area as an output, and acquires the quality quantification result through training based on a set loss function.

    SYSTEMS AND METHODS FOR CORRELATING OBJECTS OF INTEREST
    125.
    发明公开
    SYSTEMS AND METHODS FOR CORRELATING OBJECTS OF INTEREST 审中-公开

    公开(公告)号：US20240320827A1

    公开(公告)日：2024-09-26

    申请号：US18671250

    申请日：2024-05-22

    申请人： Hologic, Inc.

    发明人： Haili CHUI ,  Ashwini KSHIRSAGAR ,  Xiangwei ZHANG

    IPC分类号： G06T7/00 ,  G06T7/11

    CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T2207/20081 ,  G06T2207/30068 ,  G06T2207/30096

    摘要： A method of correlating regions in an image pair including a cranial-caudal image and a medial-lateral-oblique image. Data from a similarity matching model is received by an ensemble model, the data including at least a matched pair of regions and a first confidence level indicator associated with the matched pair of regions. Data from a geo-matching model is received by the ensemble model, the data from the geo-matching model including at least the matched pair of regions and a second confidence level indicator. A joint probability of correlation is determined by the ensemble model based on evaluation of each of the first and second confidence level by the ensemble matching model, wherein the joint probability of correlation provides a probability that the region in each image correlates to the corresponding region in the other image. The joint probability of correlation is provided to an output device.

    SYSTEMS AND METHODS FOR ASSESSING DEVIATIONS OF A SURFACE FROM A DESIGN PLAN
    129.
    发明公开
    SYSTEMS AND METHODS FOR ASSESSING DEVIATIONS OF A SURFACE FROM A DESIGN PLAN 审中-公开

    公开(公告)号：US20240320813A1

    公开(公告)日：2024-09-26

    申请号：US18611820

    申请日：2024-03-21

    申请人： KCI Holdings, Inc.

    发明人： Karl KELLER ,  James W. CLAY, III

    IPC分类号： G06T7/00 ,  G06T3/40 ,  G06T7/73 ,  G06T17/00

    CPC分类号： G06T7/0002 ,  G06T3/40 ,  G06T7/73 ,  G06T17/00 ,  G06T2207/10028 ,  G06T2210/04 ,  G06T2210/56

    摘要： Systems and methods for assessing deviations of a surface from a design plan are provided. Disclosed embodiments may involve receiving, from a scanning system, a point cloud associated with a surface, the point cloud including a discrete set of data points. Disclosed embodiments may involve sorting, using a k-dimensional tree, and downsampling, using voxels, the discrete set of data points. Disclosed embodiments may involve producing a voxel grid geometry. Further, disclosed embodiments may involve superimposing, using the k-dimensional tree, the voxel grid geometry and the point cloud and producing data by computing normal, curvature, and spherical coordinates using both the point cloud and the voxel grid geometry separately. Further, disclosed embodiments may involve determining, using the voxel grid geometry and k-dimensional tree, point-by-point deflection.