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11 条记录 (耗时 0.024 秒)

    Mammography apparatus
    4.
    发明授权
    Mammography apparatus 有权

    公开(公告)号：US11534126B2

    公开(公告)日：2022-12-27

    申请号：US17163934

    申请日：2021-02-01

    申请人： Tel HaShomer Medical Research, Infrastructure and Services Ltd.

    发明人： Miriam Sklair-Levy ,  Arnaldo Mayer ,  Shmuel Yitzhak Pfeffer

    IPC分类号： G06T7/00 ,  G06T7/11 ,  G06T7/13 ,  A61B6/04 ,  A61B6/00 ,  G06V10/46 ,  G06V10/44 ,  G06V10/50 ,  G06V10/42 ,  G06T7/44 ,  A61B6/12

    摘要： Apparatus for diagnosing breast cancer, the apparatus comprising a controller having a set of instructions executable to: acquire a contrast enhanced region of interest (CE-ROI) in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image; determine a texture neighborhood for each of a plurality of X-ray pixels in the CE-ROI, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel; generate a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood; and use a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.

    Systems and methods for the segmentation of multi-modal image data
    5.
    发明授权
    Systems and methods for the segmentation of multi-modal image data 有权

    公开(公告)号：US11170508B2

    公开(公告)日：2021-11-09

    申请号：US16959693

    申请日：2019-01-03

    申请人： Ramot at Tel-Aviv University Ltd. ,  Tel HaShomer Medical Research Infrastructure and Services Ltd.

    发明人： Yitzhak Avital ,  Nahum Kiryati ,  Eli Konen ,  Arnaldo Mayer

    IPC分类号： G06T7/11 ,  G06N3/08 ,  A61B34/20 ,  A61B34/32 ,  A61B5/00 ,  A61B5/055 ,  G01R33/56

    摘要： There is provided a computer implemented method of automatic segmentation of three dimensional (3D) anatomical region of interest(s) (ROI) that includes predefined anatomical structure(s) of a target individual, comprising: receiving 3D images of a target individual, each including the predefined anatomical structure(s), each 3D image is based on a different respective imaging modality. In one implementation, each respective 3D image is inputted into a respective processing component of a multi-modal neural network, wherein each processing component independently computes a respective intermediate, and the intermediate outputs are inputted into a common last convolutional layer(s) for computing the indication of segmented 3D ROI(s). In another implementation, each respective 3D image is inputted into a respective encoding-contracting component a multi-modal neural network, wherein each encoding-contracting component independently computes a respective intermediate output. The intermediate outputs are inputted into a single common decoding-expanding component for computing the indication of segmented 3D ROI(s).

    Mammography apparatus
    7.
    发明授权
    Mammography apparatus 有权

    公开(公告)号：US10905392B2

    公开(公告)日：2021-02-02

    申请号：US16699660

    申请日：2019-12-01

    申请人： Tel HaShomer Medical Research, Infrastructure and Services Ltd.

    发明人： Miriam Sklair-Levy ,  Arnaldo Mayer ,  Shmuel Yitzhak Pfeffer

    IPC分类号： A61B6/00 ,  G06T7/00 ,  G06T7/40 ,  G06K9/50 ,  G06K9/48 ,  G06K9/46 ,  G06T7/11 ,  G06T7/13 ,  A61B6/04 ,  G06T7/44 ,  A61B6/12

    摘要： Apparatus for diagnosing breast cancer, the apparatus comprising a controller having a set of instructions executable to: acquire a contrast enhanced region of interest (CE-ROI) in an X-ray image of a patient's breast, the X-ray image comprising X-ray pixels that indicate intensity of X-rays that passed through the breast to generate the image; determine a texture neighborhood for each of a plurality of X-ray pixels in the CE-ROI, the texture neighborhood for a given X-ray pixel of the plurality of X-ray pixels extending to a bounding pixel radius of BPR pixels from the given pixel; generate a texture feature vector (TF) having components based on the indications of intensity provided by a plurality of X-ray pixels in the CE-ROI that are located within the texture neighborhood; and use a classifier to classify the texture feature vector TF to determine whether the CE-ROI is malignant.

    ULTRASONOGRAPHIC IMAGES PROCESSING
    8.
    发明申请
    ULTRASONOGRAPHIC IMAGES PROCESSING 有权
    超声图像处理

    公开(公告)号：US20150148657A1

    公开(公告)日：2015-05-28

    申请号：US14405204

    申请日：2013-06-04

    申请人： Tel HaShomer Medical Research Infrastructure and Services Ltd.

    发明人： David Shashar ,  Reuven Achiron ,  Arnaldo Mayer

    IPC分类号： A61B8/08 ,  A61B5/00 ,  A61B8/00

    CPC分类号： A61B8/0866 ,  A61B5/7267 ,  A61B8/0875 ,  A61B8/4444 ,  A61B8/463 ,  A61B8/469 ,  A61B8/483 ,  A61B8/52 ,  A61B8/5223 ,  A61B8/523 ,  G06K2209/051 ,  G06T7/73 ,  G06T2207/10016 ,  G06T2207/10132 ,  G06T2207/10136 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30044

    摘要： A computerized method of adapting a presentation of ultrasonographic images during an ultrasonographic fetal evaluation. The method comprises performing an analysis of a plurality of ultrasonographic images captured by an ultrasonographic probe during an evaluation of a fetus, automatically identifying at least one location of at least one anatomical landmark of at least one reference organ or tissue or body fluid of the fetus in the plurality of ultrasonographic images based on an outcome of the analysis, automatically localizing a region of interest (ROI) in at least some of the plurality of ultrasonographic images by using at least one predefined locational anatomical property of the at least one anatomical landmark, and concealing the ROI in a presentation of the at least some ultrasonographic images during the evaluation. At least one anatomical landmark is imaged in the presentation and not concealed by the ROI.

    摘要翻译： 一种在超声胎儿评估过程中适应超声图像呈现的计算机化方法。 该方法包括在胎儿评估期间执行由超声波探测器捕获的多个超声图像的分析，自动识别胎儿的至少一个参考器官或组织或体液的至少一个解剖学标记的至少一个位置 在基于分析结果的多个超声图像中，通过使用至少一个解剖学标记的至少一个预定位置解剖学属性来自动定位多个超声图像中的至少一些超声图像中的感兴趣区域（ROI） 以及在评估期间在所述至少一些超声图像的呈现中隐藏ROI。 至少一个解剖学地标在演示中被成像，而不被ROI隐藏。

    System and method for automated characterization of solid tumors using medical imaging
    10.
    发明授权
    System and method for automated characterization of solid tumors using medical imaging 有权

    公开(公告)号：US10810740B2

    公开(公告)日：2020-10-20

    申请号：US16317831

    申请日：2017-07-19

    申请人： TEL HASHOMER MEDICAL RESEARCH INFRASTRUCTURE AND SERVICES LTD.

    发明人： Maya Dadiani ,  Arnaldo Mayer ,  Miriam Sklair-Levy

    IPC分类号： G06K9/00 ,  A61B5/05 ,  G06T7/00 ,  G06T7/564 ,  G06T7/38 ,  G16H30/20 ,  G16H50/20 ,  G16H30/40 ,  G06T5/00

    摘要： A system and method for automated characterization of solid tumors using medical imaging. The system comprises an interface that is configured to acquire data from medical imaging devices, one or more processors, and an outputting device that reports the characterization of said solid tumor. The method of automated characterization, which is implemented by the system, acquires a sequence of images from the medical imager using a Dynamic Contrast Enhanced (DCE) imaging protocol, performs image registration, detects the contour of the solid tumor, and dividing the contours to segments. For each segment, the method calculating a displacement of the contrast material, fitting the displacement to a flow model and extracting an estimation of the interstitial fluid velocity. The estimated interstitial fluid velocity of the segments provide characterization of the solid tumor and includes an assessment of the tumor interstitial fluid pressure, the tumor drug delivery efficiency, and the tumor prognostic or metastasis risk.