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公开(公告)号：US20210210209A1
公开(公告)日：2021-07-08
申请号：US17208799
申请日：2021-03-22
Applicant: HeartFlow, Inc.
Inventor： Charles A. TAYLOR , Hyun Jin KIM , Leo GRADY , Rhea TOMBROPOULOS , Gilwoo CHOI , Nan XIAO , David SPAIN
Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
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公开(公告)号：US20210161384A1
公开(公告)日：2021-06-03
申请号：US17169912
申请日：2021-02-08
Applicant: HeartFlow, Inc.
Inventor： Travis Michael SANDERS , Sethuraman SANKARAN , Leo GRADY , David SPAIN , Nan XIAO , Jin KIM , Charles A. TAYLOR
Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
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3.发明申请公开(公告)号：US20190095574A1
公开(公告)日：2019-03-28
申请号：US16197844
申请日：2018-11-21
Applicant: HeartFlow, Inc.
Inventor： Charles A. TAYLOR , Hyun Jin KIM , Leo GRADY , Rhea TOMBROPOULOS , Gilwoo CHOI , Nan XIAO , David SPAIN
Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
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公开(公告)号：US20230277247A1
公开(公告)日：2023-09-07
申请号：US18304655
申请日：2023-04-21
Applicant: HeartFlow, Inc.
Inventor： Charles A. TAYLOR , Hyun Jin KIM , Sophie KHEM , Sethuraman SANKARAN , David SPAIN , Nan XIAO
IPC: A61B34/10 , G16H50/50 , A61B6/00 , A61B5/00 , A61B5/02 , A61B8/06 , A61B8/08 , G16H50/20 , G16H50/70 , A61B5/026 , A61B6/03 , A61B8/12
CPC classification number: A61B34/10 , G16H50/50 , A61B6/504 , A61B6/507 , A61B5/0044 , A61B6/503 , A61B5/02028 , A61B8/065 , A61B8/5223 , A61B6/5217 , G16H50/20 , G16H50/70 , A61B5/0263 , A61B6/032 , A61B6/037 , A61B8/12 , A61B5/02007 , A61B5/0042 , A61B5/0035 , A61B5/7275 , A61B8/0883 , A61B2576/023 , A61B8/0891 , A61B2034/105
Abstract: Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.
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公开(公告)号：US20210196391A1
公开(公告)日：2021-07-01
申请号：US17197271
申请日：2021-03-10
Applicant: HeartFlow, Inc.
Inventor： Charles A. TAYLOR , Hyun Jin KIM , Sophie KHEM , Sethuraman SANKARAN , David SPAIN , Nan XIAO
IPC: A61B34/10 , G16H50/50 , A61B6/00 , A61B5/00 , A61B5/02 , A61B8/06 , A61B8/08 , G16H50/20 , G16H50/70 , A61B5/026 , A61B6/03 , A61B8/12
Abstract: Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20240407849A1
公开(公告)日：2024-12-12
申请号：US18810854
申请日：2024-08-21
Applicant: HeartFlow, Inc.
Inventor： Sethuraman SANKARAN , David LESAGE , Charles A. TAYLOR , Nan XIAO , Hyun Jin KIM , David SPAIN , Michiel SCHAAP
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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7.发明公开公开(公告)号：US20240298894A1
公开(公告)日：2024-09-12
申请号：US18661943
申请日：2024-05-13
Applicant: HeartFlow, Inc.
Inventor： Travis Michael SANDERS , Sethuraman SANKARAN , Leo GRADY , David SPAIN , Nan XIAO , Jin KIM , Charles A. TAYLOR
IPC: A61B5/00 , A61B5/02 , A61B5/026 , G16B40/20 , G16B45/00 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70
CPC classification number: A61B5/0044 , A61B5/02007 , G16B40/20 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70 , A61B5/026 , G16B45/00
Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
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8.发明公开公开(公告)号：US20230290524A1
公开(公告)日：2023-09-14
申请号：US18052119
申请日：2022-11-02
Applicant: HeartFlow, Inc.
Inventor： Charles A. TAYLOR , Hyun Jin KIM , Leo GRADY , Rhea TOMBROPOULOS , Gilwoo CHOI , Nan XIAO , David SPAIN
Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
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9.发明公开公开(公告)号：US20230310085A1
公开(公告)日：2023-10-05
申请号：US18329884
申请日：2023-06-06
Applicant: HeartFlow, Inc.
Inventor： Sethuraman SANKARAN , David LESAGE , Charles A. TAYLOR , Nan XIAO , Hyun Jin KIM , David SPAIN , Michiel SCHAAP
CPC classification number: A61B34/10 , G16H50/50 , G16H10/60 , G16H30/40 , A61B2034/105 , A61B2034/107
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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10.发明公开公开(公告)号：US20230248242A1
公开(公告)日：2023-08-10
申请号：US18302291
申请日：2023-04-18
Applicant: HeartFlow, Inc.
Inventor： Travis Michael SANDERS , Sethuraman SANKARAN , Leo GRADY , David SPAIN , Nan XIAO , Jin KIM , Charles A. TAYLOR
CPC classification number: A61B5/0044 , G16H30/40 , G16H50/50 , G16H50/70 , G16H50/20 , G16B40/20 , A61B5/02007 , G16B45/00
Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
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