知搜-全球专利检索

  1. 登录
  2. 注册

搜索结果

86 条记录 (耗时 0.027 秒)

    System and method for image-based object modeling using multiple image acquisitions or reconstructions
    3.
    发明授权
    System and method for image-based object modeling using multiple image acquisitions or reconstructions 有权

    公开(公告)号：US11501485B2

    公开(公告)日：2022-11-15

    申请号：US16993322

    申请日：2020-08-14

    申请人： HeartFlow, Inc.

    发明人： Leo Grady ,  Michiel Schaap

    IPC分类号： G06K9/00 ,  G06T15/08 ,  G06T7/00 ,  G06T7/33 ,  G06T7/174

    摘要： Systems and methods are disclosed for integrating imaging data from multiple sources to create a single, accurate model of a patient's anatomy. One method includes receiving a representation of a target object for modeling; determining one or more first anatomical parameters of the target anatomical object from at least one of one or more first images of the target anatomical object; determining one or more second anatomical parameters of the target anatomical object from at least one of one or more second images of the target anatomical object; updating the one or more first anatomical parameters based at least on the one or more second anatomical parameters; and generating a model of the target anatomical object based on the updated first anatomical parameters.

    Systems and methods for anatomic structure segmentation in image analysis
    6.
    发明授权
    Systems and methods for anatomic structure segmentation in image analysis 有权

    公开(公告)号：US10984535B2

    公开(公告)日：2021-04-20

    申请号：US17013922

    申请日：2020-09-08

    申请人： Heartflow, Inc.

    发明人： Leo Grady ,  Peter Kersten Petersen ,  Michiel Schaap ,  David Lesage

    IPC分类号： G06T7/174 ,  G06T7/00 ,  G06T7/149 ,  G06T7/12

    摘要： Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.

    Systems and methods for predicting perfusion deficits from physiological, anatomical, and patient characteristics
    9.
    发明授权
    Systems and methods for predicting perfusion deficits from physiological, anatomical, and patient characteristics 有权

    公开(公告)号：US10262101B2

    公开(公告)日：2019-04-16

    申请号：US15088733

    申请日：2016-04-01

    申请人： HeartFlow, Inc.

    发明人： Leo Grady ,  Michiel Schaap ,  Charles A. Taylor ,  Clara Jaquet

    IPC分类号： A61B5/02 ,  A61B5/026 ,  G06F19/00 ,  G16H50/20 ,  G16H50/50

    摘要： Systems and methods are disclosed for using patient specific anatomical models and physiological parameters to estimate perfusion of a target tissue to guide diagnosis or treatment of cardiovascular disease. One method includes receiving a patient-specific vessel model and a patent-specific tissue model of a patient anatomy; extracting one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, image characteristics, etc.) from the vessel or tissue models for one or more physiological states of the patient; estimating a characteristic of the perfusion of the patient-specific tissue model (e.g., via a trained machine learning algorithm) using the patient-specific physiological parameters; and outputting the estimated perfusion characteristic to a display.