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1.发明授权公开(公告)号：US11707325B2
公开(公告)日：2023-07-25
申请号：US16875767
申请日：2020-05-15
申请人： HeartFlow, Inc.
发明人： Sethuraman Sankaran , David Lesage , Charles Taylor , Nan Xiao , Hyun Jin Kim , David Spain , Michiel Schaap
CPC分类号： A61B34/10 , G16H10/60 , G16H30/40 , G16H50/50 , A61B2034/105 , A61B2034/107
摘要： 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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公开(公告)号：US11288813B2
公开(公告)日：2022-03-29
申请号：US17399119
申请日：2021-08-11
申请人： HeartFlow, Inc.
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.
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公开(公告)号：US10803592B2
公开(公告)日：2020-10-13
申请号：US15975197
申请日：2018-05-09
申请人： HeartFlow, Inc.
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.
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4.发明授权公开(公告)号：US12096990B2
公开(公告)日：2024-09-24
申请号：US18329884
申请日：2023-06-06
申请人： HeartFlow, Inc.
发明人： Sethuraman Sankaran , David Lesage , Charles A. Taylor , Nan Xiao , Hyun Jin Kim , David Spain , Michiel Schaap
CPC分类号： A61B34/10 , G16H10/60 , G16H30/40 , G16H50/50 , A61B2034/105 , A61B2034/107
摘要： 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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公开(公告)号：US11610318B2
公开(公告)日：2023-03-21
申请号：US17203964
申请日：2021-03-17
申请人： HeartFlow, Inc.
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.
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公开(公告)号：US12112483B2
公开(公告)日：2024-10-08
申请号：US18171915
申请日：2023-02-21
申请人： HeartFlow, Inc.
CPC分类号： G06T7/174 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T2200/04 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10132 , G06T2207/20081 , G06T2207/20112 , G06T2207/30004 , G06T2207/30101 , G06V2201/03
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.
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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.
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.
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