SYSTEMS AND METHODS FOR ANATOMIC STRUCTURE SEGMENTATION IN IMAGE ANALYSIS

    公开(公告)号:WO2018208927A1

    公开(公告)日:2018-11-15

    申请号:PCT/US2018/031817

    申请日:2018-05-09

    Abstract: 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.

    SYSTEM AND METHODS FOR ESTIMATION OF BLOOD FLOW USING RESPONSE SURFACE AND REDUCED ORDER MODELING

    公开(公告)号:WO2020236639A1

    公开(公告)日:2020-11-26

    申请号:PCT/US2020/033239

    申请日:2020-05-15

    Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

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